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At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking SVP Risk Engineering professional to join our Risk Engineering team in New York. In this role, you'll make an impact in the following ways: • Lead the design, development, and modernization of strategic risk platforms supporting Credit Risk, Market Risk, Counterparty Credit Risk, Treasury Risk, and enterprise Risk Intelligence capabilities., • Drive the architecture and implementation of scalable, distributed systems responsible for risk calculations, analytics, data processing, regulatory reporting, and risk intelligence workflows., • Partner closely with Risk Managers, Quantitative Research teams, Business stakeholders, and senior technology leaders to translate complex business requirements into robust engineering solutions., • Lead a global team of software engineers and technical specialists, driving execution excellence, engineering discipline, and measurable business outcomes., • Build and enhance next-generation risk engines, data platforms, and risk intelligence platforms capable of supporting large-scale analytics, scenario analysis, stress testing, valuation, and exposure calculations., • Establish technology strategies leveraging cloud, distributed computing, parallel processing, AI, and modern data architectures to improve scalability, resiliency, and operational efficiency., • Drive delivery of high-impact initiatives while maintaining strong controls, data quality, platform stability, and regulatory compliance., • Contribute as a hands-on technical leader by influencing architecture decisions, troubleshooting complex engineering challenges, reviewing designs, and mentoring engineering teams., • Foster strong collaboration across global development teams to accelerate innovation and standardize engineering best practices., • Champion a culture of accountability, continuous improvement, technical excellence, and client-focused delivery. To be successful in this role, we're seeking the following: • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline. Advanced degree preferred., • 10+ years of software engineering experience within financial services, with significant experience building and operating enterprise-scale risk, trading, or data platforms., • Proven track record designing and implementing risk engines, risk intelligence platforms, enterprise data platforms, or large-scale analytical systems., • Strong hands-on expertise in Python, PySpark, distributed computing, parallel processing, and large-scale data engineering., • Experience developing modern web applications and user experiences using Angular and/or React., • Deep understanding of software architecture, distributed systems design, microservices, event-driven architectures, and cloud-native technologies., • Experience partnering with Quantitative Research teams and implementing analytical models supporting credit risk, market risk, stress testing, pricing, exposure calculations, or related risk disciplines., • Demonstrated ability to manage complex stakeholder relationships across business, quantitative, risk, and technology organizations., • Strong leadership experience managing globally distributed engineering teams and delivering large-scale transformation initiatives., • Excellent communication, influencing, and strategic planning skills., • Ability to balance hands-on technical leadership with delivery execution in a fast-paced and highly regulated environment. At BNY, our culture speaks for itself, check out the latest BNY news at: _ _ Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We’re seeking a future team member for the role of Vice President, Sustainability Regulatory Strategy and Execution (Global) to join our Enterprise Sustainability team. This role is located in New York, NY. In this role, you will lead the translation of evolving sustainability regulations and disclosure frameworks into enterprise reporting strategy, governance, and execution. You will serve as a senior partner across Corporate Functions, driving high-quality, decision-useful disclosures, strengthening reporting readiness and controls, and influencing strategic responses to a rapidly changing regulatory environment. In this role, you’ll make an impact in the following ways: • Lead the regulatory strategy and execution agenda for sustainability reporting, shaping BNY’s approach to evolving requirements including CSRD ESRS E1, ISSB IFRS S2, ASRS AASB S2, TCFD, and related regulations, standards frameworks and guidance., • Drive end-to-end delivery of key sustainability regulatory workstreams, from regulatory interpretation and impact assessment through governance, implementation, and external disclosure., • Provide strategic advice to senior stakeholders on regulatory developments, implementation priorities, key risks, and business implications for BNY., • Oversee the development of high-quality narrative and quantitative disclosures across governance, strategy, risk management, metrics, and targets, ensuring consistency, transparency, and audit readiness., • Strengthen reporting governance, controls, documentation, and accountability frameworks to support traceability, assurance readiness, and sustainable execution at scale., • Partner across Sustainability, Finance, Risk, Legal, Compliance, Investor Relations, and other Corporate Functions to align priorities, resolve complex issues, and deliver coordinated outcomes., • Anticipate regulatory and execution risks, escalate issues appropriately, and drive practical, well-reasoned solutions in ambiguous or fast-evolving situations., • Identify and advance opportunities to enhance reporting quality, efficiency, and data integrity, including through process improvement, automation, and responsible use of AI-enabled tools., • Contribute to the development of team capability, operating discipline, and a strong culture of ownership, collaboration, and continuous improvement. To be successful in this role, we’re seeking the following: • Deep knowledge of sustainability reporting frameworks and regulations, particularly CSRD ESRS E1, ISSB IFRS S2, ASRS AASB S2, TCFD, California AB-1305, California SB-253 and SB-261, and the broader disclosure landscape affecting global banks. Prior experience implementing these disclosures is required., • Bachelor’s degree or equivalent experience in sustainability, finance, accounting, economics, public policy, law, or a related field; advanced degree preferred., • Significant experience in sustainability reporting, regulatory strategy, corporate disclosure, financial reporting, ESG governance, or a related discipline, ideally within financial services., • Strong understanding of banking business models, regulatory expectations, and sector-specific sustainability risks and reporting considerations., • Demonstrated ability to lead complex, cross-functional initiatives with a high degree of ownership, sound judgment, and executive presence., • Proven ability to interpret technical requirements and convert them into actionable governance, implementation, and reporting plans., • Excellent writing, analytical, and stakeholder management skills, with the ability to communicate clearly and influence senior audiences in a matrixed environment., • Experience enhancing controls, documentation, and assurance-ready reporting processes; familiarity with sustainability data, digital tools, and automation is preferred.

\n Centra Healthcare Allied is seeking a School Services School Special Education Teacher for a travel job in The Bronx, New York. Job Description & Requirements\n \n • Specialty: Special Education Teacher\n, • Discipline: School Services\n, • Start Date: ASAP\n, • Duration: 40 weeks\n, • 40 hours per week\n, • Shift: 8 hours, days\n, • Employment Type: Travel\n \n \n Centra Healthcare Solutions is seeking an experienced Special Education Teacher (SPED) that is certified in the state of practice to work in a school setting. This is a contract, full time position. \n \n • This is a contract position.\n, • 7:30am-4:30pm schedule.\n, • This role assumes responsibility and accountability for incorporating the vision, values, mission and critical goals of the organization into their job performance.\n \n \n Duties and Responsibilities Include: \n \n • Collaborates and provides instruction for small groups and individuals.\n, • Collaborates with necessary personnel to identify and support students who are considered “at-risk.”\n, • Collaborates with classroom teachers to design and execute individualized education plans for students with special needs.\n, • Utilizes developmentally appropriate and rigorous curricula and instructional materials that are tightly aligned to benchmarks and the Common Core State standards.\n, • Presents students with new ideas and concepts through a variety of strategies, and inspires and guides them to explore, express, and uncover new ideas of their own.\n, • Modifies existing instructional plans as necessary to accommodate individual student’s special needs.\n, • Administers collects and analyzes both qualitative and quantitative data gathered from a variety of assessments.\n, • Builds relationships with his or her students’ families through regular communication about at-risk/ IEP students’ progress and provides ways in which families can support their children’s learning.\n, • Participates in school-wide student assessments in order to diagnose students’ needs.\n, • Provides resources and supports for classroom teachers to implement intervention strategies.\n, • Refers students when necessary for special services.\n, • Participates in meetings to develop and review Individual Education Plans and suggest appropriate supports.\n, • Keeps organized records of student progress and provides up-to-date reports.\n, • Knowledgeable about Special Education law and advocates for students.\n \n \n Requirements include: \n \n • New York State Special Education Teacher Certification required.\n, • At least 2 years of teaching experience required.\n, • Bachelor’s Degree required.\n, • Master's Degree preferred.\n, • Candidates who do not meet the above requirements will not be considered\n \n \n About Centra: \n Centra Healthcare`s mission is to provide unparalleled service enabling professionals to concentrate on caring for America. We have many dynamic positions with cutting edge programs throughout the entire United States and various settings to meet each professional`s criteria. \n \n Benefits of a Local Contract or Travel Assignment through Centra: \n \n • Mileage reimbursement to assignment (if applicable)\n, • Highly competitive pay package\n, • 401(k) plan with matching\n, • Direct deposit and weekly pay\n, • CEU reimbursement\n, • Medical credentials reimbursement\n, • A chance to explore new places and new opportunities throughout the United States\n, • The opportunity to make sure that the career you choose is a good fit before committing to a permanent scenario\n, • High coverage of the premiums of a comprehensive health insurance plan\n, • Licensure reimbursement\n, • Housing accommodations or Lodging per diems (if you qualify for reimbursements)\n, • Flexibility of work schedule, including guaranteed hours (if applicable)\n, • Assignment completion bonuses (if applicable)\n \n \n Please apply online for this fantastic opportunity. We look forward to assisting you in finding an optimal position. \n \n Centra Healthcare Allied Job ID #908873. Pay package is based on 8.0 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Special Education Teacher (SPED) School \n

AI Engineer 3 (AI Foundations)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics \n • \n Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments \n • \n Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies \n • \n Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets \n • \n Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies \n • \n At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java \n\n \n Preferred Qualifications: \n\n • \n Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy \n • \n 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) \n • \n Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows \n • \n Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $161,800 - $184,600 for AI Engineer 3\n \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 3\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 3 years of experience programming with Python, Java, Golang, or C++\n, • At least 2 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 3 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 1 year of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 1+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 1+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 1+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 1+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n, • 1+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $161,800 - $184,600 for Machine Learning Engineer 3\n \n New York, NY: $176,500 - $201,400 for Machine Learning Engineer 3\n \n Plano, TX: $147,100 - $167,900 for Machine Learning Engineer 3\n \n Richmond, VA: $147,100 - $167,900 for Machine Learning Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Application Deadline: 10/18/2026 Address: 151 W 42nd Street Job Family Group: Asset Mgmt Sales & Service Role Mandate The Head of Product Development & Strategy is accountable for product strategy, pipeline management, product engineering, and commercialization across BMO Global Asset Management's U.S. ETF and SMA platform, with particular responsibility for derivatives-based and systematic investment solutions. This individual will serve as the lead architect of the derivatives-based ETF platform, translating sophisticated investment concepts into scalable products that address investor needs and support the firm’s growth objectives. The role requires deep expertise in derivatives, structured investment solutions, portfolio construction, and ETF product design, combined with strong commercial judgment and disciplined execution. Working across Investments, Sales, Marketing, Legal, Compliance, Operations, Risk Management, and external service providers, this leader will set product priorities and drive initiatives from concept and approval through launch, commercialization, and ongoing lifecycle management. As a member of BMO Global Asset Management’s U.S. leadership team, this individual will play a central role in building a differentiated and commercially successful ETF franchise. Key Responsibilities Product Strategy, Pipeline & Lifecycle Management • Own and be accountable for ETF product development, including building and maintaining the product pipeline and leading end-to-end launch execution., • Set the long-term product strategy and roadmap for BMO's U.S. ETF and SMA platform., • Establish clear priorities across the product pipeline based on client demand, market opportunity, strategic fit, investment merit, operational feasibility, resource requirements, and expected commercial returns., • Maintain a comprehensive view of ETF industry trends, competitor activity, product flows, pricing, distribution dynamics, and evolving investor needs to inform strategy and pipeline priorities., • Prepare business cases, revenue forecasts, and strategic recommendations for new product opportunities., • Define product economics and success criteria, including pricing, revenue expectations, asset-gathering objectives, launch costs, and assessment against the approved business case., • Lead ongoing product reviews and recommend enhancements, repositioning, pricing changes, mergers, or closures based on investment performance, client adoption, commercial results, and strategic relevance., • Establish and maintain product governance, approval, and lifecycle-management processes. Derivatives Strategy & Product Engineering • Serve as the firm's subject matter expert for derivatives-based, systematic, and outcome-oriented investment strategies., • Partner closely with Portfolio Management to identify, design, and evaluate innovative ETF and SMA strategies using options and other derivative instruments., • Assess investment solutions through back-testing, stress testing, scenario analysis, exotic option pricing, and strategy evaluation., • Analyze payoff structures, volatility assumptions, investor outcomes, implementation considerations, and operational feasibility., • Evaluate the risk profile, scalability, and commercial attractiveness of proposed solutions., • Challenge investment assumptions and identify potential investment, operational, and execution risks before launch., • Maintain expertise in derivatives markets, structured products, portfolio construction methodologies, and ETF innovation. Commercialization & Cross-Functional Leadership • Coordinate product development across Investments, Sales, Marketing, Operations, Legal, Compliance, Risk Management, and external service providers., • Serve as the primary product lead with external platform and service providers, ensuring that requirements, timelines, operating responsibilities, and deliverables are clearly defined and effectively coordinated., • Partner with Distribution to align product priorities with client demand, channel needs, and market opportunities., • Support product positioning, advisor education, and key client, consultant, and platform discussions., • Present product recommendations, business cases, and launch-readiness updates to executive leadership and governance committees., • Build the product development capability as the U.S. platform expands, establishing clear roles, operating disciplines, and standards of execution. Qualifications & Experience • 10+ years of experience in product strategy, ETF or ETN product development, derivatives strategy, structured products, investment structuring, portfolio construction, or related disciplines., • Deep expertise in derivatives, options, volatility products, structured outcomes, and systematic investment strategies., • Demonstrated experience designing, evaluating, structuring, and launching derivatives-based investment products., • Strong understanding of complex options strategies, including exotic options, volatility dynamics, portfolio construction, and risk management., • Experience conducting back-testing, stress testing, scenario analysis, exotic option pricing, and investment strategy evaluation., • Strong understanding of ETF structures, capital markets, asset management, product economics, and advisor distribution channels., • Demonstrated ability to translate complex investment concepts into commercially successful products., • Proven ability to lead complex initiatives involving multiple stakeholders, external providers, and competing priorities., • Experience working across Investments, Sales, Marketing, Legal, Compliance, Operations, and Risk Management functions., • Experience in ETF product development, equity derivatives structuring, quantitative investment strategies (QIS), structured products, quantitative strategy, portfolio engineering, or related capital markets functions is highly desirable., • Candidates from sell-side structured products, equity derivatives, QIS, exotic options, quantitative structuring, and related capital markets businesses are strongly encouraged to apply. Education & Professional Qualifications • Undergraduate degree in Engineering, Mathematics, Physics, Statistics, Computer Science, Quantitative Finance, Economics, or a related discipline preferred., • MBA, CFA, CAIA, FRM, CQF, MFE, or a similar advanced quantitative designation preferred., • Strong quantitative and analytical skills with experience evaluating complex investment strategies and derivatives-based solutions. Salary: $160,000.00 - $300,000.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: _ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at _ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to _ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionRoth Capital Partners, LLC is a relationship-driven investment bank focused on serving growth companies and their investors. In addition to capital markets and M&A advisory services, our full-service platform provides a variety of capital markets solutions, including high impact equity research, macroeconomic perspectives, institutional sales and trading, technical insights, derivatives strategies and corporate access. Headquartered in Newport Beach, California, Roth is a privately held, employee-owned organization and maintains offices throughout the U.S. Roth is looking to add a flow Derivatives Sales Trader to our team, responsible for structuring and pricing, and executing listed US options strategies for institutional clients. This role combines client-facing sales responsibility with trading and risk expertise, requiring close collaboration with the derivatives trading desk and institutional sales coverage. The successful candidate will bring strong quantitative fluency alongside the relationship and communication skills needed to advise sophisticated institutional counterparties. This position may be based out of any of our U.S. Offices. Responsibilities include (but are not limited to): • Structure, price, and manage listed equity derivative trades (single stock, ETF, index options) on behalf of institutional clients., • Provide clients with trade ideas, hedging strategies, and market color across volatility, correlation, and equity derivative markets., • Partner with institutional equity sales to identify and develop derivative-related opportunities within existing client relationships., • Work with institutional equity sales and research analysts to identify catalysts for listed option trade ideas, • Market the firms current “Catalyst Single Stock Product” produced by firms derivative desk strategist, • Maintain deep familiarity with options market structure, volatility surfaces, and derivative pricing models to advise clients effectively., • Ensure all derivative transactions comply with applicable regulatory requirements (FINRA, SEC, CFTC where applicable) and internal risk and suitability policies., • Build and maintain relationships with institutional derivative desks, hedge funds, and other sophisticated counterparties.Skills and Attributes:, • Strong quantitative skills with fluency in options pricing, volatility, and risk (Greeks) concepts, • Excellent communication and client-management skills, with the ability to explain complex derivative strategies clearly to sophisticated investors.Qualifications:, • 5-10+ years of derivative sales, sales trading, or trading experience, with a strong foundation in equity derivatives and options., • Active Series 7 and Series 63 licenses required; Series 57 and/or relevant derivatives licensure (e.g., Series 3) a plus., • Established relationships with institutional derivative trading desks and hedge funds., • Bachelor's degree required, • Clean U.S. regulatory record (FINRA BrokerCheck).Compensation: This position is commission-based. Total compensation, including commission and any discretionary bonus, will vary based on experience, portable book of business, and individual production. Powered by JazzHR 6MPEskZk9F

Machine Learning Engineer 4 (Manager, IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Details Four Twenty Five Restaurant by Jean-Georges is ACTIVELY hiring PREP COOKS! OVERVIEW Renowned Chef Jean-Georges Vongerichten is expanding his global restaurant empire with the launch of Four Twenty Five, a new restaurant that perfectly blends culinary excellence with architectural marvel and sustainability practices. Situated at the prestigious address of 425 Park Avenue in an L&L Holding office tower, this restaurant boasts a remarkable design by the esteemed Lord Norman Foster of Foster+Partners, a recipient of the prestigious Pritzker Prize. Four Twenty Five promises an extraordinary dining experience, featuring a main mezzanine dining level showcasing a stunning open kitchen. Enhancing its appeal, the restaurant also boasts a captivating cocktail lounge and bar, complemented by a 24-foot painting created by artist Larry Poons above the bar. THE BRAND Jean-Georges Management is built on a powerful culinary foundation and has evolved into a reputable and award-winning restaurant group. From inception, Chef Jean-Georges Vongerichten placed emphasis on the importance of providing the very best in culinary and tailored hospitality, which has resulted in the success of an acclaimed constellation of international restaurants. With over 60 restaurants located worldwide, we continuously strive towards excellence and rely on the support of our culinary and hospitality team members to contribute to our worldwide operations. POSITION SUMMARY All cooks will be responsible for high-quality preparation, cooking, and/or production of dishes according to menu and recipe specifications, follow instructions relating to the timely preparation of food orders, organizing workstations, and assisting other cooks as needed. ESSENTIAL JOB RESPONSIBILITIES • Prepare and/or produce a variety of high-quality dishes as per guest orders, while following approved recipes & specifications in an accurate and timely manner., • Perform work on different kitchen line stations as per business demands., • Cook menu items in alignment with the kitchen team to deliver dishes simultaneously at appropriate time., • Weigh and measure ingredients; properly use recipes in order to produce dishes up to standard., • Maintain a thorough working knowledge of recipes, ingredients, allergens, and food presentation., • Ensure that food quality, quantity, freshness, and presentation meet Jean-Georges standards., • Maintain department cleanliness and organization, adhere to safe work and equipment practices, and follow all food safety, health and sanitation standards., • Properly store and/or discard leftover food., • Set up, stock stations, and replenish kitchen inventory and supplies as needed., • Ensure all the products and prepared items are properly labeled, dated, initialed, covered, and rotated following FIFO (first in, first out)., • Follow all company policies, procedures, and guidelines including being ready to work at scheduled shift, in uniform, as per uniform standards., • Perform and complete any other duties and responsibilities given as required in a timely and professional manner. KNOWLEDGE, EXPERIENCE AND SKILLS • Culinary degree and/or certificate highly desirable., • Minimum of two (2) year of restaurant experience; fine dining and high-volume experience required, • Must have excellent knife skills and are proficient in all aspects of cooking., • Demonstrated experience with various cooking methods, ingredients, equipment and procedures., • Have experience with multiple stations in the kitchen., • Working knowledge and understanding of health, safety, and sanitation standards, • Ability to take direction., • Ability to follow and execute recipes to designated specifications., • Ability to work in a clean, organized, and efficient manner in a high-pressure environment., • Excellent attention to detail, time management, and organizational skills., • Effective communication and interpersonal skills conducive to a productive teamwork environment., • Ability to work both independently and in a team environment., • Operate ethically to protect the assets and image of the company., • Strong work ethic, team player, and customer-focused approach., • Ability to work a flexible schedule including days, nights, weekends, and holidays., • Must be passionate, entrepreneurial, and dedicated to success. PHYSICAL REQUIREMENTS • Ability to perform the essential job functions consistently, safely and successfully with the ADA, FMLA and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards., • Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards., • Must be able to lift and carry up to 50 lbs., • Ability to stand for prolonged periods of time., • Moving about on foot to accomplish tasks, particularly frequent movements from place to place within the property., • Bend, lift, carry, reach/extend arms, and hands above shoulder height frequently, or otherwise move in a constantly changing environment., • Climbing steps regularly. COMPENSATION The base pay range for this position is $20.00 to $21.00 per hour. The determination of what a specific employee in this job classification is paid within the range depends on a number of factors, including, but not limited to, prior employment history/job-related knowledge, qualifications, skills, etc. Jean-Georges is an Equal Opportunity Employer

Job DescriptionDescription: About Butterfield Market: Butterfield Market is an upscale New York City market known for exceptional food, quality products, and personalized service. Our success is driven by a talented team that takes pride in delivering memorable experiences and maintaining the high standards our customers expect. We foster a collaborative, welcoming workplace where employees are valued, supported, and encouraged to grow. Join our team and build your career with a company that values passion, professionalism, and a commitment to excellence. Essential Duties and Responsibilities: perform duties relating to the cutting, preparation, display, and selling of meat products including making specific cuts for customers, and answering customers' questions about our selection. Ensure a positive company image by providing courteous, friendly, and efficient service to customers and team members at all times. • Performing quality inspections on meats and other products, • Cut and package meats, • Prepare specific cuts for customers, • Maximizes sales potential through effective and proper procedures for prepping, storing, rotating, stocking, and merchandising products., • Provides excellent customer service, addresses the needs of customers in a timely and effective manner, and models suggestive selling techniques, • Estimate requirements and order meat supplies to maintain inventories, • Move meats from coolers to cutting area and return meats to coolers, • Clean equipment and tools, • Follows and complies, or ensures compliance with established procedures, including Weights and Measures, health and sanitation, and safe work practices., • Performs opening, mid, and closing duties as assigned, and ensures accuracy of signs and pricing., • Merchandise/Product signage & layout, • Order Product, • Conduct inventory of the department, • Quality control & sanitary measures, • Maintain compliance with all company policies and procedures, • Perform related duties as assigned by General Manager/Store Manager/Department ManagerRequirements: Education and/or Work Experience Requirements: • Minimum 2 years of previous butcher/meat cutter experience, • Excellent understanding of various meat-cutting methods, • Excellent verbal and written communication skills, including ability to effectively communicate with internal and external customers, • Proficient computer skills, • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service, • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practice, • High School Diploma or equivalent preferred Physical Requirements: • Availability to work a flexible schedule, including weekends, nights, and holidays, as required, • Ability to stand for prolonged periods, • Moving about on foot to accomplish tasks, particularly frequent movements from place to place within the store. Bend, lift, carry, reach/extend arms, and hands above shoulder height frequently, or otherwise move in a constantly changing environment, climb steps regularly, • Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards., • Ability to maintain regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards, • Must be able to lift and carry up to 50 lb Benefits & Perks: • Medical, dental, and vision insurance, • Paid Time Off (PTO) and paid sick time, • Commuter benefits, • 401(k) retirement savings plan, • Employee discounts

Job Description Job Details Description 220 CENTRAL PARK S. by Jean- Georges Seeking Experienced Line Cooks! 220 Central Park S. is seeking Line Cooks who are energetic, get excited about food, and thrive in a team environment. As a private restaurant, at 220 Central Park S. there will be opportunities to experience a broad array of food in the Jean-Georges repertoire. This unique position offers the time to focus on attention to detail and producing the highest quality. Jean-Georges uses the best ingredients sourced from local farms and green markets. POSITION SUMMARY 220 Central Park S. (CPS) is seeking motivated Line Cooks with a positive attitude and a willingness to learn. This is a unique opportunity to join a team of passionate professionals dedicated to their craft. 220 CPS believes in hands-on training by the Chefs and fostering growth in all employees. Our ethos is to make the best food possible with the best ingredients sourced from local farms, artisan vendors, and green markets. ESSENTIAL JOB RESPONSIBILITIES • Prepare and produce a variety of high-quality dishes as per guest orders, while following approved recipes & specifications in an accurate and timely manner, • Cook menu items in alignment with the kitchen team to deliver dishes simultaneously at the appropriate time, • Maintain a thorough working knowledge of recipes, ingredients, allergens, and food presentation, • Ensure that food quality, quantity, freshness, and presentation meet Jean-Georges standards, • Ensure all the products and prepared items are properly labeled, dated, initialed, covered, and rotated following FIFO (first in, first out), • Maintain department cleanliness and organization, adhere to safe work and equipment practices, and follow all food safety, health, and sanitation standards, • Set up, stock stations, and replenish kitchen inventory and supplies as needed, • Follow all company policies, procedures, and guidelines, • Consistently report to scheduled shifts on time and ready to work in proper uniform, • Operate ethically to protect the assets and image of the company, • Performs other duties and responsibilities as per business need KNOWLEDGE, EXPERIENCE, AND SKILLS • Minimum 1 year of experience in a full-service, high-volume, fast-paced kitchen, • Culinary degree and/or certificate highly desirable, • Must have excellent knife skills with proficiency in all aspects of cooking, • Demonstrated experience with various cooking methods, ingredients, equipment, and procedures, • Ability to follow and execute recipes to designated specifications, • Ability to think quickly and multi-task in a fast-paced environment, • Ability to take direction and execute, • Effective communication and interpersonal skills conducive to a productive teamwork environment, • High standards for cleanliness of workspace and service areas, • Ability to work in an ever-changing environment, • Ability to work both independently and in a team environment, • Strong work ethic and customer-focused approach, • Ability to work a flexible schedule including days, nights, weekends, and holidays, • Must be passionate, entrepreneurial, and dedicated to success PHYSICAL REQUIREMENTS • Ability to perform essential job functions safely and successfully consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards., • Must be able to lift and carry up to 50 lbs; Ability to stand for prolonged periods of time and climb steps regularly., • Ability to physically maneuver through work areas; bend, lift, carry, reach/extend arms, and hands above shoulder height frequently, or otherwise move in a constantly changing environment. COMPENSATION The base pay range for this position is $20.00-25.00 per hour. The determination of what a specific employee in this job classification is paid within the range depends on a number of factors, including, but not limited to, prior employment history/job-related knowledge, qualifications, and skills, etc. We look forward to meeting you! "Jean-Georges is an Equal Opportunity Employer committed to excellence through diversity."

$35 - $100/hourpayEViewsMacroeconomicsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Job Description Job Details Four Twenty Five is Seeking Chef de Parties with fine-dining experience! Four Twenty Five, a Restaurant by Jean-Georges Vongerichten is a stunning new dining experience under the Jean-Georges brand. We are actively seeking experienced hospitality professionals to join the team! Our ideal talent embodies both hospitality and a thoughtful approach to guest experiences, works well in a dynamic and fast-paced environment, and is passionate about providing superb hospitality to both our guests and our community. OVERVIEW Renowned Chef Jean-Georges Vongerichten is expanding his global restaurant empire with the launch of Four Twenty Five, a new restaurant that perfectly blends culinary excellence with architectural marvel and sustainability practices. Situated at the prestigious address of 425 Park Avenue in an L&L Holding office tower, this restaurant boasts a remarkable design by the esteemed Lord Norman Foster of Foster+Partners, a recipient of the prestigious Pritzker Prize. Four Twenty Five promises an extraordinary dining experience, featuring a main mezzanine dining level showcasing a stunning open kitchen. Enhancing its appeal, the restaurant also boasts a captivating cocktail lounge and bar, complemented by a 24-foot painting created by artist Larry Poons above the bar. POSITION SUMMARY Chef de Parties will be responsible for the high-quality preparation, cooking, and/or production of dishes according to the menu and recipe specifications, following instructions relating to the timely preparation of food orders, organizing workstations, and assisting other cooks as needed. ESSENTIAL JOB RESPONSIBILITIES • Prepare and/or produce a variety of high-quality dishes as per guest orders, while following approved recipes & specifications in an accurate and timely manner., • Perform work on different kitchen line stations as per business demands., • Cook menu items in alignment with the kitchen team to deliver dishes simultaneously at appropriate times., • Weigh and measure ingredients; properly use recipes in order to produce dishes up to standard., • Maintain a thorough working knowledge of recipes, ingredients, allergens, and food presentation., • Ensure that food quality, quantity, freshness, and presentation meet Jean-Georges standards., • Maintain department cleanliness and organization, adhere to safe work and equipment practices, and follow all food safety, health, and sanitation standards., • Properly store and/or discard leftover food., • Set up, stock stations, and replenish kitchen inventory and supplies as needed., • Ensure all the products and prepared items are properly labeled, dated, initialed, covered, and rotated following FIFO (first in, first out)., • Follow all company policies, procedures, and guidelines including being ready to work at scheduled shift, in uniform, as per uniform standards., • Perform and complete any other duties and responsibilities given as required in a timely and professional manner. KNOWLEDGE, EXPERIENCE AND SKILLS • Culinary degree and/or certificate is highly desirable., • Minimum of two (2) years of restaurant experience; fine dining and high-volume experience required, • Must have excellent knife skills and be proficient in all aspects of cooking., • Demonstrated experience with various cooking methods, ingredients, equipment, and procedures., • Have experience with multiple stations in the kitchen., • Working knowledge and understanding of health, safety, and sanitation standards, • Ability to take direction., • Ability to follow and execute recipes to designated specifications., • Ability to work in a clean, organized, and efficient manner in a high-pressure environment., • Excellent attention to detail, time management, and organizational skills., • Effective communication and interpersonal skills are conducive to a productive teamwork environment., • Ability to work both independently and in a team environment., • Operate ethically to protect the assets and image of the company., • Strong work ethic, team player, and customer-focused approach., • Ability to work a flexible schedule including days, nights, weekends, and holidays., • Must be passionate, entrepreneurial, and dedicated to success. PHYSICAL REQUIREMENTS • Ability to perform the essential job functions consistently, safely, and successfully with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards., • Ability to maintain regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards., • Must be able to lift and carry up to 50 lbs., • Ability to stand for prolonged periods of time., • Moving about on foot to accomplish tasks, particularly frequent movements from place to place within the property., • Bend, lift, carry, reach/extend arms, and hands above shoulder height frequently, or otherwise move in a constantly changing environment., • Climbing steps regularly. COMPENSATION The base pay range for this position is $22.00 to $24.00 per hour. The determination of what a specific employee in this job classification is paid within the range depends on a number of factors, including, but not limited to, prior employment history/job-related knowledge, qualifications, skills, etc. Jean-Georges is an Equal Opportunity Employer

AI Engineer 3\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.\n, • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.\n, • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.\n, • Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.\n, • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.\n, • Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics\n, • Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments\n, • Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies\n, • Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets\n, • Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation\n\n \n The Ideal Candidate: \n\n • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good\n, • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production\n, • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven\n, • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss\n, • You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown\n\n \n Basic Qualifications: \n\n • Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies\n, • At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java\n\n \n Preferred Qualifications: \n\n • Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy\n, • 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)\n, • Experience developing, delivering, and supporting AI services\n, • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang\n, • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost\n, • Experience in building agentic AI systems and agentic workflows\n, • Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost)\n, • Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows\n, • Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $161,800 - $184,600 for AI Engineer 3\n \n McLean, VA: $161,800 - $184,600 for AI Engineer 3\n \n New York, NY: $176,500 - $201,400 for AI Engineer 3\n \n San Jose, CA: $176,500 - $201,400 for AI Engineer 3\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Family: Strategy & Transformation Consulting\n Travel Required: Up to 25%\n Clearance Required: None\n \n \n Is life sciences in your DNA? Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, medical device, and diagnostic companies develop custom solutions that tackle today’s challenges, while anticipating tomorrows. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. Do you think you are up for the challenge? \n \n We continuously strive to foster an inclusive and diverse work culture and thoughtfully develop our people through challenging work, valuable learning and educational programs. We cultivate a culture of mentorship and feedback for professional and personal growth. We help our clients take control of their future. This mission extends to our employee's careers, health and well-being and by the many ways we give back to our communities. \n \n What You Will Do: \n The Value & Access team provides commercialization strategy and market access services to pharmaceutical and biotechnology companies. Our client services range from pre-commercialization go-to-market planning to launch value story, pricing, and reimbursement strategies, impacting policies affecting the use and payment of our clients’ novel therapies. \n \n You will be responsible for creating and implementing pricing and access strategies for a variety of pharmaceutical assets. This will involve working with senior staff to develop project proposals, managing consulting teams in the development and communication of client deliverables, and maintaining client relationships. Managing Consultants oversee multiple projects simultaneously. \n \n Common responsibilities and expertise include: \n · Designing and managing project teams to execute various pharmaceutical market access and pricing strategy projects, both qualitative and quantitative \n ○ Strong market analysis, market research, and analytics skills required \n ○ Preferred candidates will have experience with various pricing methodologies (analog assessment, Van Westendorp, Gabor Granger, Conjoint, etc.) \n · Designing and leading primary interviews with key stakeholders such as payers and KOLs \n · Deep experience with: \n\n • \n Part A / hospital inpatient pricing and reimbursement \n • \n Part B / medical benefit pricing \n • \n Part D / contracting \n • \n Calculating gross-to-net \n\n · Building Excel-based financial models to evaluate price-access scenarios and gross-to-net \n · Strong understanding of health economic methodologies and value pricing constructs \n · Ability to construct practice economic analyses under a variety of settings of care and financial ecosystems \n · Familiarity with U.S. government and pricing policy reform \n · Track record of thought leadership (written or podium) \n · Comfortable engaging with and presenting to executive-level audiences to deliver actionable insights and recommendations \n · Track record of training and developing junior consulting staff \n \n Guidehouse encourages career development and hiring for the long term. Managing Consultants follow a clearly defined career path. As Managing Consultants hone their project management skills, ability to manage multiple work streams, professional expertise, and client and business development skills, they progress to the position of Associate Director. \n \n What You Will Need: \n · Bachelor’s degree; a major course of study in science, biomedical engineering, business, or healthcare policy preferred. \n · 4+ years of consulting or related business experience in market access, reimbursement, pricing, health economics, forecasting, and/or pipeline strategy. \n · 1–2 years of direct experience in client management and content delivery roles. \n · Demonstrates excellent project management skills, initiative and resourcefulness, leadership, and ability to think strategically and creatively. \n · Keen attention to detail. \n · Strong understanding of the pharmaceutical industry, including drug development and launch. \n · Experience developing, designing, and executing qualitative and quantitative market research. \n · Strong verbal and written communication skills. \n · Proficiency in Microsoft Office Excel, Word, PowerPoint, and Outlook. \n \n What Would Be Nice To Have: \n · Graduate-level degree in business or other health-related field (e.g., MBA, MPH, MS, PhD) \n · A track record in mentoring and developing junior staff members. \n · Track record of promotion within a firm or achievement that shows ability to take on progressively more responsibility. \n · Superior written and verbal communication skills. \n · Preference will be given to candidates located within 50 miles of a Guidehouse office. \n \n The annual salary range for this position is $122,000.00-$204,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.\n What We Offer: \n Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. \n \n Benefits include: \n\n • \n Medical, Rx, Dental & Vision Insurance \n • \n Personal and Family Sick Time & Company Paid Holidays \n • \n Position may be eligible for a discretionary variable incentive bonus \n • \n Parental Leave and Adoption Assistance \n • \n 401(k) Retirement Plan \n • \n Basic Life & Supplemental Life \n • \n Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts \n • \n Short-Term & Long-Term Disability \n • \n Student Loan PayDown \n • \n Tuition Reimbursement, Personal Development & Learning Opportunities \n • \n Skills Development & Certifications \n • \n Employee Referral Program \n • \n Corporate Sponsored Events & Community Outreach \n • \n Emergency Back-Up Childcare Program \n • \n Mobility Stipend \n\n \n About Guidehouse \n Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. \n \n Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. \n \n If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. \n \n All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. \n \n If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. \n \n Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Strategy & Transformation Consulting\n Travel Required: Up to 25%\n Clearance Required: None\n \n \n What You Will Do: \n The Value & Access team provides commercialization strategy and market access services to pharmaceutical and biotechnology companies. Our client services range from pre-commercialization go-to-market planning to launch value story, pricing, and reimbursement strategies, impacting policies affecting the use and payment of our clients’ novel therapies. \n \n You will be responsible for creating and implementing pricing and access strategies for a variety of pharmaceutical assets. This will involve working with senior staff to develop project proposals, managing consulting teams in the development and communication of client deliverables, and maintaining client relationships. Associate Directors oversee multiple projects simultaneously. \n \n Common responsibilities and expertise include: \n · Oversee development and review of project deliverables to ensure proper framing of strategic issues, use of appropriate methods, and materials are up to client standards. \n · Facilitate client presentations and manage client relationships. \n · Actively support business development and the project sales cycle. \n · Manage and develop staff, including performance management of direct reports. \n · Manage project budgets, timelines, and staffing. \n · Create corporate- and product-level market access strategies for technologies across multiple stages of the product development cycle. \n · Design and manage project teams to execute pharmaceutical market access and pricing strategy projects, both qualitative and quantitative, including overseeing development of materials and facilitating discussions as required. \n ○ Strong market research skills required. \n ○ Preferred candidates will have experience with various pricing methodologies, including analog assessment, Van Westendorp, Gabor-Granger, and conjoint analysis. \n · Design and lead primary interviews with key stakeholders such as payers and KOLs. \n · Apply deep experience with: \n\n • Part A / hospital inpatient pricing and reimbursement.\n, • Part B / medical benefit pricing.\n, • Part D / contracting.\n, • Gross-to-net calculations.\n\n · Build Excel-based financial models to evaluate price-access scenarios and inform pricing recommendations. \n · Demonstrate strong understanding of health economic methodologies and value pricing constructs. \n · Construct practice economic analyses under a variety of settings of care and financial ecosystems. \n · Maintain familiarity with current pricing and access laws and proposed pricing policy. \n · Demonstrate a track record of thought leadership, written or podium. \n · Engage with and present to executive-level audiences to deliver actionable insights and recommendations. \n · Train and develop junior consulting staff. \n What You Will Need: \n · Bachelor’s degree; major course of study in science, biomedical engineering, business, or healthcare policy preferred. \n · 6+ years of transferable consulting or relevant biotechnology/pharmaceutical work experience in market access, reimbursement, pricing, health economics, forecasting, and/or pipeline strategy. \n · 3+ years of direct experience in client management and content delivery roles. \n · Demonstrated project management skills, initiative, resourcefulness, leadership, and ability to think strategically and creatively. \n · Keen attention to detail. \n · Superior written and verbal communication skills, with the ability to clearly communicate clinical and business implications of technically complex products and services. \n · Demonstrated track record of managing direct reports and teams of experienced consultants, including managers and consultants. \n · Strong understanding of the pharmaceutical industry, including drug development and launch. \n · Experience developing, designing, and executing qualitative and quantitative market research. \n · Strong verbal and written communication skills. \n · Proficiency in Microsoft Office Excel, Word, PowerPoint, and Outlook. \n What Would Be Nice To Have: \n · Advanced degree preferred, such as MBA, MPH, MS, or PhD. \n · Preference will be given to candidates located within 50 miles of a Guidehouse office. \n \n The annual salary range for this position is $162,000.00-$270,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.\n What We Offer: \n Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. \n \n Benefits include: \n\n • \n Medical, Rx, Dental & Vision Insurance \n • \n Personal and Family Sick Time & Company Paid Holidays \n • \n Position may be eligible for a discretionary variable incentive bonus \n • \n Parental Leave and Adoption Assistance \n • \n 401(k) Retirement Plan \n • \n Basic Life & Supplemental Life \n • \n Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts \n • \n Short-Term & Long-Term Disability \n • \n Student Loan PayDown \n • \n Tuition Reimbursement, Personal Development & Learning Opportunities \n • \n Skills Development & Certifications \n • \n Employee Referral Program \n • \n Corporate Sponsored Events & Community Outreach \n • \n Emergency Back-Up Childcare Program \n • \n Mobility Stipend \n\n \n About Guidehouse \n Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. \n \n Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. \n \n If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. \n \n All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. \n \n If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. \n \n Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job DescriptionAssistant Portfolio Manager (Early-Career) – Career Launch AI Talent Network Location: New York, NY Employment Type: Full-Time Estimated Compensation: $140,000 – $185,000 total annual compensation (varies by employer) About This Posting This job description represents a sample Assistant Portfolio Manager position commonly found through the Career Launch AI Talent Network. It is designed to help job seekers understand the responsibilities and qualifications typically associated with early-career roles in portfolio management and investment strategy. Actual openings may vary depending on employer needs and investment focus (e.g., public equities, fixed income, multi-asset, or alternative investments). For more information on the Career Launch AI Talent Network, visit: https://www.careerlaunch.ai/ Position Overview Assistant Portfolio Managers support senior portfolio managers in the construction, monitoring, and optimization of investment portfolios. The role involves financial analysis, market research, risk assessment, and performance evaluation across asset classes. These roles often require close collaboration with portfolio managers, research analysts, risk teams, and trading desks to support disciplined investment decision-making. Key Responsibilities Assist in portfolio construction, rebalancing, and asset allocation decisions Analyze securities, sectors, and macroeconomic trends to support investment strategies Build and maintain financial models, performance attribution tools, and risk analytics Monitor portfolio performance relative to benchmarks and investment objectives Conduct market, industry, and company-specific research Support trade execution planning and coordination with trading teams Prepare investment memos, performance reports, and presentations for internal stakeholders Assist with portfolio risk management, scenario analysis, and stress testing Preferred Qualifications Bachelor’s degree in Finance, Economics, Mathematics, Business, Engineering, or a related field Strong foundation in financial markets, investments, and portfolio theory Experience in asset management, equity research, investment banking, consulting, or trading (preferred but not required) Advanced analytical and quantitative skills with strong attention to detail Proficiency in Excel and financial modeling; familiarity with Python, R, or SQL is a plus Clear written and verbal communication skills High interest in markets, investing, and long-term capital allocation About the Career Launch AI Talent Network The Career Launch AI Talent Network helps job seekers pursue opportunities similar to this role through: Skills-based role matching Resume and profile optimization Guidance on outreach to hiring managers and investment teams Interview preparation for investment, markets, and portfolio management roles To learn more or express interest in portfolio management and investment roles, visit: https://www.careerlaunch.ai/

Client: Banking/Financial Position Title: Quantitative Risk Business Analyst Location: Jersey City, NJ- Hybrid onsite 3 days Contract Length: 12 months Pay Range: $75- $90 Required skills Strong grasp of VaR, Greeks, derivatives, portfolio risk calculation — hands-on, not theoretical Good data ana

Job Description ASSOCIATE DIRECTOR OF FAMILY SERVICES We are excited to invite a dedicated and passionate Associate Director of Family Services to join our central office team in Manhattan, NY. As an Associate Director of Family Services, you will focus on both supporting and overseeing our Family Services departments at our six Family Residences. The ideal candidate will have a passion for working with families in crisis, have experience in social services, and be able to identify departmental achievement gaps through case audits, assessments, and DHS data. The Associate Director of Family Services will be a large part of creating a high performing Family Services department. This position will report to the Senior Director of Operations. Join us and be a part of an organization that values your contribution and cares deeply for the community we serve! ABOUT HOMES FOR THE HOMELESS: Homes for the Homeless operates shelters for families experiencing homelessness in NYC. Our family residences are more than just a place to sleep. Families can make the most of their stay through accessing an array of onsite programs. Many of these programs are also available to people living in the local community. Our goal is to have a positive impact so families can thrive long after they leave our shelters. ESSENTIAL DUTIES AND RESPONSIBILITIES: • Provide support and guidance to our six Family Services departments by actively engaging with Directors, Social Workers, and Case Managers., • Provide case oversight by reviewing case documentation, conducting case audits and triage high needs clients with Family Services staff., • Assist in providing mentorship and training to newly hired Directors of Family Services., • Conduct conferences with Family Services on high need cases., • Conduct site visits to all six Family Residences., • Review DHS reports and identify gaps in services that need to be addressed., • Build a relationship with DHS and attend DHS meetings as required., • Report site incidents to leadership., • Address emergencies as required, as HFH is a 24/7 operation. QUALIFICATIONS: • A Bachelor’s or master’s degree in social services, counseling, human services, or forensic science., • 5+ years of experience in Case Management services, child advocacy, or social services., • Experience working with underserved communities., • Recognizes the importance of combining quantitative and qualitative data to develop comprehensive solutions and recommendations., • Organized and fluent in Microsoft Suite. COMPENSATION/EEO: In order to attract and retain a high-performance workforce, Homes for the Homeless offers a dynamic and rewarding work environment, with a focus on ensuring an appropriate work-life balance. In addition to a competitive salary, full-time permanent employees are eligible for excellent benefits including comprehensive health insurance (including medical, dental, and vision), an employer-funded 403(b) retirement plan, commuter benefits, life insurance, Work/Life Assistance Program, 3 weeks paid vacation, 10 sick days, 3 personal days and 12 paid holidays. Homes for the Homeless

Job Description Title: Outside Sales/Trader Location Type: Trading Company Metal Type: Non Ferrous Scarp Compensation Range: $80K-$100 • 5+ years Metal or Mineral Outside Sales/Trading background preferred., • Travel required primarily domestic, • Highly organized and high level of communication with experience in negotiations., • Background in performing cost and profit analysis of existing and potential customers., • Quantitative and qualitative analysis skills are required., • Intermediate understanding of Microsoft Excel

Job Description Job Summary Quantitative Investment Analyst Initio Capital Full-time, Part-time, Contract, Temporary, Internship, Casual Hybrid | New York, NY, United States uantitative Investment Analyst – Initio Capital Location: New York, NY Employment Type: Full-Time Estimated Compensation: $145,000 – $185,000 total annual compensation (varies by employer) About This Posting This job description represents a sample Quantitative Investment Analyst position commonly found through the Career Launch AI Talent Network. It is provided to help job seekers understand the responsibilities and qualifications typically associated with early-career quantitative investment and research roles. Actual openings vary depending on employer needs. For more information on the Career Launch AI Talent Network, visit: https://initiocapital.com/assessment

Job Description Belvedere Trading is a leading proprietary trading firm. We are a team driven by intellectual curiosity, seeking answers that will change not only how we trade in this technological age, but also the future landscape of the trading industry. Our traders provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. Traders partner with our technologists to continually engineer and optimize our trading systems to stay on top of the industry. Join the pulse of the trading floor at Belvedere Trading, where tradition and innovation converge in the dynamic environment of the Cboe Super Pit or AMEX trading floors. As a Floor Trader, you’ll play a critical role in providing liquidity and driving performance in the open outcry marketplace. At Belvedere, we’ve built our success on a foundation of intellectual curiosity and continuous improvement. From developing proprietary technology to refining our trading strategies, we are committed to staying at the forefront of the industry. Our traders work seamlessly with our technology teams to optimize models and enhance performance, ensuring we remain agile in an ever-evolving market landscape. We are seeking a seasoned professional with expertise in single stock equity volatility and a background in open outcry or voice/chat market making. This role offers the opportunity to apply your market insights and decision-making skills in a fast-paced environment where every trade makes an impact. Experience on the MIAX Sapphire floor or a comparable options trading floor is strongly preferred, particularly in environments that support large, complex orders and combine proprietary technology with open outcry price discovery. What you'll do: • Provide consistent liquidity in assigned options products while supporting efficient, orderly markets., • Execute floor-based, voice-assisted, or hybrid options trades with precision and strong commercial judgment., • Apply proprietary pricing models, volatility analysis, and risk frameworks to manage positions and improve trade selection, • Monitor market activity, order flow, and quote quality in real time to identify opportunities and respond quickly to changing conditions, • Partner with technologists and quantitative teams to enhance trading tools, optimize workflows, and improve execution performance, • Contribute market insight, trade feedback, and post-trade analysis to help refine strategy and portfolio management, • Communicate clearly with brokers, counterparties, and internal stakeholders to support effective coordination on the trading floor, • Operate with strong accountability, risk discipline, and a continuous-improvement mindset aligned with firm performance goals What you'll need:, • 2+ years of experience in options market-making at a proprietary trading firm or comparable trading environment, • Prior floor trading experience on Cboe, AMEX, MIAX or comparable physical exchange, • Strong understanding of options pricing, volatility, market microstructure, and liquidity provision, • An ability to apply quantitative skills and logical reasoning to solve complex problems, • Demonstrated ability to make high-quality decisions under pressure and manage risk in fast-moving markets. Additionally, certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits, which can be found on our website here.How We Operate - Core Values Team Belvedere: Work seamlessly with others to achieve shared goals. Foster a positive and supportive environment that brings out the best in your teammates. Me in Team: Focus on competing and succeeding at the highest level, constantly striving for excellence. Own It: Actively address challenges and make decisions that drive positive results, taking ownership of both successes and failures. Build Rockets: Bring forward bold, creative ideas and solutions. Be open to experimentation and willing to take calculated risks. Passionate Discourse: Encourage and bring innovative, out-of-the-box ideas to discussions, actively contributing to team growth and progress. Women and underrepresented groups frequently apply for jobs only if they meet 100% of the qualifications. We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Work Schedule: Regular and reliable attendance during business hours with the ability to be on-site prior to the start of business on occasion Physical: Ability to remain at a desk and concentrate for long periods of time Amount of Travel Required: None We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription: This entry-level Analyst opportunity offers on-the-job learning and an education on core professional skills for the practice of commercial real estate valuation. Analyst works in close collaboration under a licensed senior appraiser to access proprietary databases and publicly available resources. This work output is used to produce appraisal reports or other valuation services for a wide variety of commercial real estate subject properties and entrusted by our clients. Analysts are responsible for managing their own caseload, seeing assignments through to completion which includes but is not limited to research and compiling key data, performing market surveys, and confirming property transaction details. All job training and necessary equipment and technology will be provided. The Analyst position is defined by an independent, yet supportive environment in which the analyst will acquire skills in real estate finance, market analysis, and commercial investment analysis. The position involves a mixture of desk and field work, with new challenges and opportunities presented as the analyst builds a body of knowledge. Therefore, this position is best suited to an ambitious individual who enjoys problem solving and can focus on the details while never losing sight of the big picture. Further, the ideal candidate has strong research and analytical skills and is an effective communicator. If you are a self-starter with a passion for real estate and a knack for analytics, please submit your qualifications to join our growing team. Requirements: · Strong quantitative skills with experience building real estate valuation models · Excellent written, verbal, and interpersonal communication skills · Ability to be a collaborative team player · Ability to contribute to a positive culture · Good judgment · Self-starter, highly organized, and detail-oriented · Strong analytical aptitude · Must be proficient in MS Word and Excel · Reliable high-speed internet as projects may require work from home occasionally to meet assignment due dates · Argus Enterprise experience a plus · Web-based mapping tools. · Bachelor’s degree in finance, Real Estate or Economics or related discipline with 1 - 3 years of commercial real estate experience preferred BBG is the leading independent valuation, environmental, and property condition assessment services firm in the United States, with offices nationwide providing commercial valuation and assessment services and a deep understanding of real estate finance from acquisition to disposition. The position offers medical benefits, flexible scheduling, education assistance, and opportunities for offsite fieldwork inspecting properties. BBG is an Equal Opportunity / Affirmative Action employer committed to providing equal employment opportunities and maintaining a workplace free from discrimination of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other characteristic protected by state, federal, or local law.

Job Description Good Apple is looking for an Assistant Strategist, Programmatic, to join our amazing team. Programmatic is the method of digital media buying through software platforms and automation. Programmatic media buying is growing every year and is regarded as the future of digital advertising. As a key member of the Programmatic team, you will be responsible for managing Programmatic campaigns, including campaign creation, QA, optimization, and insights. You will be responsible for learning the key elements of audience-based media planning and cross-channel programmatic campaigns, including but not limited to: Display, Video, Audio, Connected TV, and more.. At Good Apple, everything we do is centered on our clients' objectives and success, so you will be working closely with other technical specialties, including SEM, Paid Social, and Analytics. This Job Will Be A Great Fit If… • You are naturally curious and a generally positive thinker, • Have great attention to detail and enjoy software platforms and analytics, • Can successfully manage time and priorities in a fast-paced, dynamic environment, • Like getting hands-on technical expertise to build a foundation in digital media buying, • Have an entrepreneurial spirit and can collaborate well in a team atmosphere, • Love asking questions and thinking critically, • Enjoy speaking and writing concisely and persuasively Job Responsibilities: • Develop, launch and optimize cross-channel campaigns while building expertise and mastering leading Programmatic ad platforms (DSPs) such as the Trade Desk, Google Display & Video 360, PulsePoint, and others., • Provide reliable and accurate campaign reporting on a daily, weekly, and monthly schedule, • Closely monitor real-time campaign data, identify issues or opportunities, and make optimization changes to improve campaign performance and scalability., • Launch, manage, and optimize Programmatic campaigns across multiple platforms. Assist in the development of tactics and bidding strategies in buying platforms such as Trade Desk, Google Display & Video 360, PulsePoint, and others., • Learn the basics of ad operations to ensure all creative specs and implementation are in compliance with policy, • Collaborate with external partners and the internal analytics team to resolve any technical or quality issues, • Perform monthly accruals, accounting, and update campaign spend projections, • Write POVs and summaries of key industry events, conferences, and partner updates., • Develop technical skills in digital ad platforms, including ad servers, DSPs, audience data partners, brand safety providers, and more. Desired Skills & Experience: • At least 3 months of work or internship experience, preferably in media planning and buying, • Strong interest in Digital Media, • Strong problem-solving and analytics skills. Experience in Google Analytics a plus., • Advanced computer skills (Excel, PowerPoint, Word, Google Suite). Comfortable with formulas (Vlookup, etc), pivot tables, chart creation, and template building, • Experience in learning and mastering an advanced software platform, • Desire to work on some of the most exciting pharma and e-commerce brands, • Digital advertising certifications and experience (Google Ads, Trade Desk, etc.) a plus, • Bachelor’s Degree or equivalent, preferably in a quantitative or analytical-related field Additional Role Details Work Authorization: Candidates must be legally authorized to work in the United States. Good Apple is unable to provide employment visa sponsorship for this position. Compensation Range: $66,500 annually The compensation range reflects the expected base salary for candidates who meet the specific experience, skills, and qualifications required for the role. Final compensation will be determined based on skills, experience, qualifications, and overall alignment with the position. Bonus, Benefits & Perks: In addition to base compensation, this position is eligible for bonus opportunities, benefits, and additional employee perks. Work Environment: This position requires employees to work in person four days per week (Monday-Thursday) in our NYC office. Powered by JazzHR xuvXuiTMcy

Job DescriptionBusiness Analyst / Researcher / Operations Specialist Role Type: Contractor Location: Remote micro1 is seeking Business Analysts, Researchers, and Operations Specialists to support a writing-focused customer project involving business analysis, research, and operational reasoning for AI training. No prior AI experience is required. Key Responsibilities • Analyze business scenarios, decisions, and trade-offs., • Conduct quantitative and qualitative research., • Gather and synthesize requirements and stakeholder insights., • Analyze data using Excel, SQL, or similar tools., • Develop reports, memos, business cases, and process documentation., • Identify process improvements and provide actionable recommendations., • Communicate complex findings clearly and effectively.Required Skills, • Business Analysis & Requirements Gathering, • Quantitative & Qualitative Research, • Data Analysis (Excel/SQL), • Process Improvement & Operations Management, • Stakeholder Communication, • Report & Memo Writing, • Complex Information Synthesis, • Analytical WritingQualifications, • 3+ years of experience in business analysis, research, operations, or related fields., • Strong analytical, research, and professional writing skills., • Experience with data interpretation, process improvement, and stakeholder communication.

Job Description Belvedere Trading is a leading proprietary trading firm with offices in Chicago, New York, Boulder, and Singapore. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to building our systems from the ground up. Our trading models and software systems are continually re-engineered, optimized, and maintained to stay on top of the industry. We operate best within a team environment where we challenge each other to deliver value consistently and share in the success of the company. We’re looking for a Senior Trading Software Engineer to help push the boundaries of our trading platform. You’ll work side-by-side with traders and quantitative researchers to design and evolve the infrastructure behind our automated options trading systems. Our core platform is built in Java, but we’re expanding into modern C++ to drive our strategies into new markets. This role will have a hand in everything from trading logic to system performance to FPGA integrations. We operate every day with rigorous code reviews, automated testing, and scalable best practices. If you love optimizing every microsecond, solving real-time problems, and building scalable, battle-tested systems, this role will keep you challenged and engaged every day. What you'll do • Solve low-latency trading problems and optimize performance-critical code., • Collaborate with fellow trading engineers to improve system performance and scalability., • Contribute across the tech stack: application development, network optimization, and platform tuning., • Partner with hardware and networking teams to drive low-latency performance gains., • Leverage data to drive decision-making and uncover optimization opportunities., • Design and implement performance-critical, low-latency solutions for real-time trading., • Continuously enhance our performance architecture to support evolving strategies., • Build new platform features and refine existing systems to meet the demands of high-speed trading.What you'll need, • Proven experience in full-cycle software development in trading or other high-performance domains, • 5+ years of professional experience in modern C++; Java experience is a plus, • Strong grasp of network programming (e.g., raw sockets, latency tuning, packet handling), • Demonstrated ability to debug, profile, and optimize complex systems, • A self-directed approach with the ability to identify and solve system issues without handholding, • Experience in fast-paced environments where reliability and performance are paramount, • A proactive mindset that anticipates risk, foresees performance bottlenecks, and proposes forward-thinking solutions, • A Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical fieldAdditionally, certain positions at Belvedere Trading are eligible for discretionary bonuses. Our employees have access to a variety of benefits, which can be found on our website here.Work Schedule Belvedere Trading is supportive of a Hybrid work schedule requiring two days a week in either the Chicago, Boulder, New York, or Singapore offices during normal business hours. Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications.We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse. We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAlternative Investment Officer Career Launch AI Talent Network Location: New York, NY (Hybrid) Employment Type: Full-Time Industry: Investment Banking / Financial Services Experience Level: Analyst / Early Career Compensation: Competitive base salary + performance bonus (varies by employer) About This Opportunity This posting represents the type of Alternative Investment Officer roles featured within the Career Launch AI Private Job Board. It is not a direct job opening with a specific employer. Members of the Career Launch AI platform gain access to exclusive finance, consulting, and technology opportunities that may not appear on public job boards. This description reflects a typical early-career role focused on alternative asset strategies, including private equity, private credit, venture capital, real assets, and hedge fund investments. More information is available at careerlaunch.ai. Representative Role Overview A leading investment firm, asset manager, or financial institution may seek an Alternative Investment Officer to support the evaluation, monitoring, and strategic allocation of alternative investments. This role is well-suited for candidates seeking exposure to non-traditional asset classes, portfolio construction, and investment strategy within a structured professional environment. Key Responsibilities Support analysis and evaluation of alternative investment opportunities across private equity, private credit, venture capital, real assets, and hedge funds Build and maintain financial models and scenario analyses to assess investment risk and return profiles Conduct market, sector, and manager research to support portfolio strategy and allocation decisions Assist with investment memoranda, portfolio reviews, and internal presentations Monitor performance of existing alternative investments and support ongoing portfolio reporting Coordinate due diligence materials, data rooms, and external manager communications Collaborate with senior investment professionals on asset allocation, risk assessment, and strategic initiatives Desired Qualifications Bachelor’s degree in Finance, Economics, Accounting, Mathematics, or a related discipline Strong analytical and quantitative skill set with interest in alternative asset classes Excellent written and verbal communication abilities Ability to manage multiple priorities in a fast-paced, detail-oriented environment Prior internship or experience in investment banking, asset management, private equity, hedge funds, or consulting is beneficial Proficiency in Excel, PowerPoint, and financial research platforms; exposure to portfolio analytics tools is a plus Why This Posting Matters This Alternative Investment Officer description reflects the types of opportunities available exclusively to Career Launch AI members, including: Roles shared directly with Career Launch AI by employers Opportunities not posted publicly Warm introductions to hiring managers and recruiters AI-supported job targeting and application support Interview coaching and preparation Career Launch AI members gain access to over 1,000+ curated roles across: Alternative Investments Private Equity & Venture Capital Asset & Portfolio Management Corporate Finance Strategy Consulting Technology (FAANG-level and startups) Product, Data, and Operations roles How Career Launch AI Helps Candidates Career Launch AI is a career acceleration platform designed to help job seekers secure competitive roles more efficiently. Members receive: AI-powered job application automation Personalized recruiter outreach Warm introductions to decision-makers Sector-specific resume optimization Interview preparation and ongoing support This posting is an example of the types of positions members may pursue through the platform. How to Access Opportunities Like This To be considered for roles of this type, candidates must enroll in the Career Launch AI platform. Career Launch Assessment Link: https://careerlaunch.ai/assessment Once enrolled, members receive: Access to the exclusive job board Personalized recruiter outreach Automated job applications Coaching and interview preparation Ongoing support until placement

Job DescriptionFinancial Institutions Strategist Career Launch AI Talent Network Location: New York, NY (Hybrid) Employment Type: Full-Time Industry: Investment Banking / Financial Services Experience Level: Analyst / Early Career Compensation: Competitive base salary + performance bonus (varies by employer) About This Opportunity This posting represents the type of Financial Institutions Strategist roles featured within the Career Launch AI Private Job Board. It is not a direct job opening with a specific employer. Members of the Career Launch AI platform gain access to exclusive finance, consulting, and technology opportunities that may not appear on public job boards. This description reflects a typical early-career financial institutions strategy role accessible through our network. More information is available at careerlaunch.ai. Representative Role Overview A leading investment bank, advisory firm, or financial services institution may seek a Financial Institutions Strategist to support advisory and strategic initiatives across banks, asset managers, insurance companies, fintech firms, and other financial institutions. This role combines analytical rigor with sector-focused strategic insight. Professionals in this position support transactions, capital strategy, competitive positioning, regulatory impact analysis, and long-term growth initiatives within the Financial Institutions Group (FIG). These roles are well-suited for candidates seeking deep exposure to the financial services sector, complex transactions, and high-impact strategic advisory work. Key Responsibilities Conduct financial and strategic analysis across banks, insurers, asset managers, specialty finance, and fintech companies Build and maintain financial models (valuation, capital adequacy, merger scenarios, return analysis) Support M&A, capital raising, restructuring, and balance sheet optimization initiatives within the financial institutions sector Analyze regulatory frameworks, capital requirements, and industry trends affecting financial institutions Develop pitch materials, strategic presentations, and client-facing deliverables Perform peer benchmarking, profitability analysis, and business model assessments Assist in transaction execution, due diligence coordination, and data analysis Collaborate with senior bankers and sector specialists on client strategy and growth initiatives Desired Qualifications Bachelor’s degree in Finance, Economics, Accounting, Mathematics, or a related discipline Strong interest in financial institutions, banking models, insurance, asset management, or fintech Advanced financial modeling and valuation skills Strong analytical, quantitative, and problem-solving abilities Excellent written and verbal communication skills Ability to manage multiple workstreams in a fast-paced, deadline-driven environment High attention to detail and strong organizational skills Prior internship or experience in investment banking, FIG advisory, consulting, financial services, or corporate strategy preferred Proficiency in Excel, PowerPoint, and financial research platforms Why This Posting Matters This Financial Institutions Strategist description reflects the types of opportunities available exclusively to Career Launch AI members, including: Roles shared directly with Career Launch AI by employers Opportunities not posted publicly Warm introductions to hiring managers and recruiters AI-supported job targeting and application support Interview coaching and preparation Career Launch AI members gain access to over 1,000+ curated roles across: Investment Banking Private Equity & Venture Capital Corporate Finance Strategy Consulting Technology (FAANG-level and startups) Product Management Data, Operations, and more How Career Launch AI Helps Candidates Career Launch AI is a career acceleration platform designed to help job seekers secure competitive roles more efficiently. Members receive: AI-powered job application automation Personalized recruiter outreach Warm introductions to decision-makers Sector-specific resume optimization Interview preparation and ongoing support This posting is an example of the types of positions members may pursue through the platform. How to Access Opportunities Like This To be considered for roles of this type, candidates must enroll in the Career Launch AI platform. Career Launch Assessment Link: https://careerlaunch.ai/assessment Once enrolled, members receive: Access to the exclusive job board Personalized recruiter outreach Automated job applications Coaching and interview preparation Ongoing support until placement

Job Description Investment Opportunity Analyst – Hybrid Career Launch AI Talent Network Location: New York, NY (Hybrid) Employment Type: Full-Time Industry: Investment Banking / Financial Services Experience Level: Analyst / Early Career Compensation: Competitive base salary + performance bonus (varies by employer) About This Opportunity This posting represents the type of Investment Opportunity Analyst roles featured within the Career Launch AI Private Job Board. It is not a direct job opening with a specific employer. Members of the Career Launch AI platform gain access to exclusive finance, consulting, and technology opportunities that may not appear on public job boards. This description reflects a typical early-career role focused on analyzing, sourcing, and evaluating investment opportunities for private equity, venture capital, or corporate investment teams. More information is available at careerlaunch.ai. Representative Role Overview A leading investment firm, private equity group, or corporate development team may seek an Investment Opportunity Analyst to support investment evaluation, financial modeling, and portfolio assessment. This role is ideal for candidates interested in deal analysis, market research, and strategic investment decision-making. Key Responsibilities Conduct financial analysis and valuation of potential investment opportunities using 3-statement, DCF, LBO, and scenario models Perform industry research, market benchmarking, and competitor analysis to identify high-potential investments Support sourcing and evaluation of deals in venture capital, private equity, or corporate investment portfolios Prepare investment memoranda, reports, and presentations for senior leadership and investment committees Assist in due diligence processes, including financial, operational, and strategic reviews Collaborate with cross-functional teams to support investment decision-making and transaction execution Monitor and track the performance of investments post-transaction, providing insights and recommendations Desired Qualifications Bachelor’s degree in Finance, Economics, Accounting, Mathematics, or a related discipline Strong skills in financial modeling, valuation, and quantitative analysis Excellent analytical, research, and communication abilities Ability to manage multiple investment opportunities and workstreams in a fast-paced environment High attention to detail and strong organizational skills Prior internship or full-time experience in investment banking, private equity, venture capital, corporate development, or consulting is beneficial Proficiency in Excel, PowerPoint, and financial research tools Why This Posting Matters This Investment Opportunity Analyst description reflects the types of opportunities available exclusively to Career Launch AI members, including: Roles shared directly with Career Launch AI by employers Opportunities not posted publicly Warm introductions to hiring managers and recruiters AI-supported job targeting and application support Interview coaching and preparation Career Launch AI members gain access to over 1,000+ curated roles across: Investment Banking & Corporate Finance Private Equity & Venture Capital Corporate Development & Strategy Strategy Consulting Technology (FAANG-level and startups) Product Management Data, Operations, and more How Career Launch AI Helps Candidates Career Launch AI is a career acceleration platform designed to help job seekers secure competitive roles more efficiently. Members receive: AI-powered job application automation Personalized recruiter outreach Warm introductions to decision-makers Sector-specific resume optimization Interview preparation and ongoing support This posting is an example of the types of positions members may pursue through the platform. How to Access Opportunities Like This To be considered for roles of this type, candidates must enroll in the Career Launch AI platform. Career Launch Assessment Link: https://careerlaunch.ai/assessment Once enrolled, members receive: Access to the exclusive job board Personalized recruiter outreach Automated job applications Coaching and interview preparation Ongoing support until placement

Job Description Responsible for overseeing the operation, maintenance, and managerial oversight of multiple buildings (operational (open 24/7/365) and residential); implementing policies, procedures, and programs that will assure well-managed, well-maintained buildings and equipment; leading staff in a positive service response to the concerns and needs of employees and tenants; providing assurance of safety concerns, quality programs, NYC code compliance and policy compliance, in coordination and conjunction with the company goals. This position serves as an exemplary leader and develops and maintains excellent working relationships with AMC employees/tenants, the community, and regulatory and city and state agencies. The ED assumes financial accountability, people management of direct reports, manages key performance indicators, and executes the strategic directives of AMC. Key Responsibilities • Maintains complete responsibility and oversight of day-to-day operations of hospital and other facilities, ensuring that all services are effectively delivered and building needs are met including, custodial, life-safety, housing, security, risk management, engineering, and general and preventative maintenance (including medical equipment); ensures that staff implements and provides these services in a manner consistent with the policies, goals, and objectives., • Provides leadership in programming, budgeting, and full oversight of campus capital program instantiates annually., • In collaboration with Finance identify campus utilities reduction opportunities and operational efficiency., • Directly oversees campus asset NYC code compliance and regulatory compliance to NYC Local Laws., • Provide exemplary leadership to management team including prioritization, direction, development, and assessment., • Implementing policies, procedures and programs that will assure well-managed, well-maintained buildings and equipment, • Lead staff in a positive service response to the concerns and needs of employees and tenants, • Provide assurance of safety concerns, quality programs, NYC code compliance and policy compliance, in coordination and conjunction with the organization's goals., • Lead, develop, maintain an excellent working relationships with employees, tenants, the community, and regulatory and city and state agencies., • Assumes financial accountability, people management of direct reports, manages key performance indicators and executes the strategic directives of the organization., • Oversee the planning and operation of facilities in emergency response situations, disaster preparedness, and emergency notification programs., • Advises C-Suite leadership on operational improvement goals and activities., • Develop and maintain strong rapport with employees and tenants to elicit feedback for continuous improvement ensuring organizational effectiveness., • Assure organization-wide compliance with all Federal, State and Local laws, ordinances, and codes relating to the operation and safety of facilities and staff; assures mandated inspections and repairs of fire safety/suppression systems and other such systems are completed, as required., • Develop and maintain a house-wide preventative maintenance program., • Oversee Biomedical vendor and annual assessment of in-house feasibility.Supervisory Responsibilities, • Oversees all Building Operations (5 FTEs), Environmental Services (15 FTEs), and Housing (3 FTEs)., • 510 east 62nd Street – Main Hospital – 75,000 square feet., • 320 East 53rd Street – Resident\Intern Housing – 60,000 square feet., • 425 East 61st Street – Leased Office\Administrative Space – 5,000 square feet., • 425 East 61st Street – Leased Storage Space – 1,000 square feet., • 1113 York Avenue – Leased Veterinary Care Space – 2,500 square feetRequired Skills/Abilities, • Excellent verbal and written communication skills., • Excellent interpersonal and conflict resolution skills., • Excellent organizational skills and attention to detail., • Strong analytical and problem-solving skills in qualitative and quantitative research., • Proficient in Excel, Microsoft office, and other certifications as required by the Schwarzman Animal Medical Center., • On-call; after-hours and emergency response availability when needed.Education and Experience, • BA degree in Business Management, Engineering, Architecture, Construction Management, or Facility Management from an accredited college or university., • Ten (10) years of management level work experience that has demonstrated effective leadership, technical knowledge, communication, and interpersonal skills, including understanding of and experience in budgeting, staff supervision, construction & facility management, procurement, OSHA, ADA codes & regulations, program development and project management at a multi-building organization., • Hospital and/or healthcare facility management (preferred).Physical Requirements:, • Prolonged periods of sitting at a desk and working on a computer., • The employee is occasionally required to stand, walk, climb, balance, stoop, kneel, crouch, crawl, and taste or smell., • Employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds.Benefits Package Includes, • Competitive salary, • Generous paid time off, • 50% discount on veterinary care, • Continuing education funds with rollover options, • 403(b) matching, • Comprehensive medical, dental, and vision coverage, • You may be eligible for The Public Loan Service Forgiveness Program as we are a 501(c)(3) nonprofit employer Pay Range $200,000—$250,000 USD Excellence in veterinary medicine since 1910. AMC Offers: A Commitment to Lifelong Learning: Founded in 1910, the Schwarzman Animal Medical Center is the world's largest veterinary teaching hospital, offering compassionate, collaborative, and cutting-edge veterinary care. Our commitment to innovation has led to the creation of one of the most advanced veterinary facilities in the world. State-of-the-Art Facilities: AMC just completed a major expansion and renovation. This project transformed the hospital's entire 83,000-square-foot space into a state-of-the-art facility unlike any other. Highlights include: A brand-new full floor surgical center, 1.5 Tesla Philips MRI (the exclusive high field MRI for small animals in NYC), 64-slice spiral CT scanner, Electroencephalography (EEG), Elekta Versa HD Linear Accelerator, In-house Laboratory, Ultrasound, Echocardiogram, and Mobile Cone Beam CT A multidisciplinary team of 140+ veterinarians across 20+ specialties: With over 20 specialties and services under one roof, our departments frequently work together to deliver the highest quality of patient care in the veterinary field. Our dynamic array of specialists means that we are the go-to place for complex cases. A Hospital in the heart of NYC: AMC is located in Manhattan, surrounded by leading research and teaching institutions such as Cornell University College of Veterinary Medicine, Weill Cornell Medical School, and NYU. Collaborative research opportunities abound, and our strong focus on education ensures a rewarding career for those passionate about mentoring and advancing veterinary medicine.

Job DescriptionBusiness Development Associate – PE/VC Location: New York, NY Employment Type: Full-Time Estimated Compensation: $140,000 – $185,000 total annual compensation (varies by employer) About This Posting This job description represents a sample Business Development Associate – Private Equity/Venture Capital position commonly found through the Career Launch AI Talent Network. It is intended to help job seekers understand the responsibilities and qualifications typically associated with early-career roles in private capital, fundraising, and institutional investor relations. Actual openings may vary depending on employer focus, including private equity, venture capital, and growth-oriented investment funds. For more information on the Career Launch AI Talent Network, visit: https://www.careerlaunch.ai/ Position Overview Business Development Associates in PE/VC support fundraising, investor outreach, and business growth initiatives for private equity and venture capital funds. The role blends financial analysis, investor research, and client relationship management in a fast-paced, deal-oriented environment. These associates collaborate closely with senior business development and investor relations teams, portfolio managers, and fund executives to cultivate relationships with institutional investors and high-net-worth clients. Key Responsibilities Conduct research on potential investors, industry trends, and private capital allocation strategies Support outreach and relationship-building efforts with institutional investors, family offices, and other funding sources Assist in preparing fundraising materials, pitch decks, and marketing collateral for PE/VC fundraising campaigns Maintain CRM and track investor communications, commitments, and follow-ups Collaborate with investment teams to provide performance updates, fund reporting, and due diligence materials Support deal origination and pipeline management initiatives Prepare internal and external reporting on fundraising progress, investor metrics, and market insights Assist with event coordination, investor meetings, and presentations Preferred Qualifications Bachelor’s degree in Finance, Economics, Business, or a related field Knowledge of private equity, venture capital, or alternative investments Experience or coursework in business development, investor relations, or fundraising (preferred but not required) Strong analytical, research, and quantitative skills with keen attention to detail Proficiency in Excel, PowerPoint, and CRM systems Excellent written and verbal communication skills Ability to prioritize tasks and work effectively in fast-paced, deal-driven environments Interest in private equity, venture capital, and institutional investor engagement About the Career Launch AI Talent Network The Career Launch AI Talent Network helps job seekers pursue opportunities similar to this role through: Skills-based role matching Resume and profile optimization Guidance on outreach to PE/VC teams and investor relations professionals Interview preparation for fundraising, market research, and business development assessments To learn more or express interest in private equity and venture capital business development roles, visit: https://www.careerlaunch.ai/

Job DescriptionCompany Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description MS NOW is looking for a passionate, strategic, and highly motivated Senior Analyst to join the Digital Platform Analytics team. This role will use audience and subscriber data to uncover insights across the customer lifecycle, from acquisition and engagement through retention and churn. The Senior Analyst will partner closely with Editorial, Product, Marketing, Engineering, and business teams to translate complex data into actionable insights that inform audience development, product initiatives, editorial strategy, and the growth of MS NOW’s business. Key Responsibilities: • Conduct deep-dive and exploratory analyses using SQL and other analytics tool to identify trends, opportunities, and drivers of audience and subscriber behavior, and translate findings into clear recommendations, • Monitor and analyze key subscription and digital performance metrics, including acquisition, engagement, content consumption, retention, audience exposure, and video performance. Identify high-performing content formats, topics, audience behaviors, and emerging patterns, • Partner with Editorial, Product, Marketing, Engineering, and business stakeholders to define KPIs, measurement frameworks, and analytical requirements and ensure consistent, accurate measurement across MS NOW’s digital products, • Build, maintain, and evolve dashboards and recurring reporting that enable stakeholders to independently understand business and audience performance and support data democratization and governance, • Partner with experimentation leads and Product teams to develop data-driven hypotheses, establish measurement plans, analyze experiment results, and translate findings into actionable product recommendations, • Partner with Data Engineering, Data Science, and Product teams to develop and refine audience segmentation and predictive capabilities, including propensity and personalization models, • Work with large, complex datasets and data lake environments to combine multiple data sources and conduct advanced analyses of user behavior and business performance, • Communicate analytical findings and recommendations through clear, compelling narratives tailored to a range of audiences, including senior leadership Qualifications, • 3+ years of experience in digital analytics, product analytics, audience insights, or a related field, preferably within a direct-to-consumer, subscription, or digital media business, • SQL skills and experience working with large, complex datasets, • Proficiency in Excel and experience building analytical models and conducting details quantitative analysis, • Experience with tools such as Databricks/Snowflake, Adobe/Google Analytics, Amplitude, Tableau/Looker/Omni, and experimentation platforms Desired Characteristics: • Strong analytical and problem-solving skills, with the ability to move from ambiguous business questions to structured analysis and actionable recommendations, • Strong communication skills with the ability to influence stakeholders and translate complex data into compelling narratives Additional Requirements: • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week from our NYC office., • This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks., • Salary: $80,000 - $100,000 Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description JOB TITLE: Senior Director, Operating Budget SALARY RANGE: $133,519 - $166,899 (FIN008) DEPT/DIV: Buses AGENCY: TA / OA / MTA Bus SUPERVISOR Chief Budget Officer LOCATION: East New York Depot HOURS OF WORK: 8 hours per day POSITION SUMMARY: This position has direct accountability for process improvement, analysis and reporting of all personnel and salary and wage expenses in the Department of Buses. Assigns and directs staff responsible for reporting on salary and wage expenses and process improvement in timekeeping operations. Leverages data, reporting and software applications to improve the transparency and visibility of our staffing and labor expense information. Performs audits of depot timekeeping and staffing operations. Provides employees with direction regarding compliance with NYCT rules, regulations, effective labor relations and personnel policies. Implements training programs and develops talent. RESPONSIBILITIES: • Performs variance reporting and analysis on salary and wage expenses and labor hour utilization., • Monitors depot and shop utilization of overtime against budget., • Recommends and implements successful strategies to better utilize overtime within budget., • Assists in the development of applications, reports and presentations to executive management that effectively communicate Buses performance in labor utilization., • Collaborates and communicates with operations personnel to provide clear strategic direction on utilizing best practices for timekeeping and staffing functions., • Partners with Strategic Planners and GSs of Support Services to improve our utilization of labor resources., • Works with management to develop and improve our staffing procedures and policies in a manner that comply with our collective bargaining agreements., • Performs regular compliance audits on the data in UTS, Spear and Bus trek to ensure adherence to policy and procedures., • Utilizes software applications and data visualization tools to make timekeeping and staffing more efficient and transparent., • Develop standard operating procedures for depot and shop staffing and timekeeping., • Partner with depot operations to standardize the way we utilize overtime., • Create standard operating procedures that support financial reporting, depot timekeeping, and labor resource utilization., • Create a sustainable program that develops future GSs of Support Services and dispatchers who perform timekeeping functions., • Train depot operating to utilize data visualization tools to become more efficient and accurate in their job functions., • Prepare executive reporting and presentations for the Office of the NYCT President and Buses EVP related to financial performance, availability, timekeeping and OT utilization. EDUCATION AND EXPERIENCE: • Degree Required: Bachelor’s, • Major Field of Study: Business, Economics, Finance or Data Science or a satisfactory equivalent., • Total Number of Years’ Experience: 10 years, • Years of Managerial/Supervisory Experience: 5 years DESIRED SKILLS: • Knowledge of the environment and operating of a mass transit system in a large union environment., • Knowledge of financial and timekeeping systems. Ability to effectively manage a group of employees in a fast paced and highly data-driven environment., • Good working knowledge of labor relations and collective bargaining agreements., • Superior competency with leveraging technology to implement process improvements., • Previous experience in project management., • Experience in timekeeping and staffing operations., • Ability to effectively communicate with employees at all levels in the organization, including represented employees., • Strong Verbal, communication and quantitative skills. SELECTION METHOD: Based on evaluation of education, skills, experience, interview, and written assessment. All selected candidates will be subject to a full background investigation that includes employment and education. Discrepancies may lead to dismissal. OTHER INFORMATION: Appointment may be at a comparable level to current level of selected candidate. (If necessary) As an employee of MTA NYC Transit, you may be required to complete an annual financial disclosure statement with the state of New York, if your position earns more than $101,379 (this is subject to change) per year or if the position is designated as a policy maker. HOW TO APPLY: Qualified applicants can submit an online application by clicking on the ‘APPLY NOW’ button from either the CAREERS page or from the JOB DESCRIPTION page. If you have previously applied online for other positions, enter your Username and Password. If it is your first registration, click on the CLICK HERE TO REGISTER hyperlink and enter a Username and Password; then click on the REGISTER button. EQUAL EMPLOYMENT OPPORTUNITY: MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

Job Description This position will be primarily responsible for the general financial and operational accounting functions, including customer invoicing, month-end close, financial reporting, and supporting the financial forecasting function. The successful candidate will be a vital member of a growing team, assisting with the decarbonization of aviation through comprehensive sustainability solutions. The candidate will have a role in all pillars of sustainability including carbon offsets, sustainable aviation fuel, in addition to supporting the financial reporting function, such as month-end duties, financial forecasting, and analysis. Location: Hybrid – Office space available in Cleveland, OH, Columbus, OH, and Plymouth, MA. Essential Functions: 1. Manage 4AIR’s customer base across various products & services, including preparation of customer invoices and coordinating with 4AIR’s Program Managers to support client needs., 2. Assist with month-end close, including completing monthly operational journal entries, monthly reconciliations, and manage accounting for expense reports., 3. Assist with inventory procurement, management, and inventory allocation to clients across different inventory types., 4. Ability to effectively adapt to changing responsibilities and priorities, in a sometimes ambiguous and evolving area of scope., 5. Support new company initiatives, including new ERP system evaluation & implementation and expansion into new geographies., 6. Creates new tools and processes to improve company private and public resources., 7. Becomes a subject matter expert on carbon accounting within aviation., 8. Provides oversight on vendor and customer management., 9. Performs other related duties as assigned. Key Skills and Competencies • Interpersonal skills necessary to establish and maintain effective working relationships with management, employees, customers, external contacts, and other departments. Ability to professionally represent the company at industry events., • Working knowledge of process improvement methodology and application, accounting and budgeting principals necessary to read and interpret profit/loss statements, develop and build financial-based models., • Ability to accept feedback and work collaboratively as part of a team to develop and apply skills in a unique setting., • Thoughtful application of inventory management, recordkeeping and documentation principles., • Ability to meet deadlines, must be comfortable prioritizing tasks, demonstrate flexibility, display a strong work ethic, fanatical attention to detail, and sense of urgency., • Proven ability to identify problems based on quantitative figures then solve those problems., • Create and analyze complex accounting models utilizing Microsoft Excel and PowerBI. Minimum Qualifications: • Bachelor’s degree in accounting or finance., • Minimum of 2 years of experience in accounting or financial reporting., • Strong understanding of GAAP principles and financial reporting standards., • Successful candidate should be highly motivated, self-directed, proactive, and able to work effectively under time constraints with a positive attitude. Additional Interests: • Working knowledge of business aviation industry, products, and services., • Working knowledge of sustainability industry, including carbon offsets, sustainable fuels, and new technology., • Background in public accounting., • Has obtained or started towards a pilot’s license.

Job DescriptionAbout Pair Team Pair Team is a public benefit company reimagining care for the safety net. As an AI-enabled medical group for Medicaid and Medicare, we deliver medical, behavioral, and social care by integrating shelters, pantries and other community-based organizations into our whole-person model. As California's largest complex care provider, we've proven our impact to reduce avoidable emergency care, including a 52% and 26% reduction in ER visits and hospitalizations respectively. Once scaled nationally, our approach would save tax payers $150B per year. With our years of experience and vast data collected, we are now building an AI platform that embeds social work agents across the safety net to truly unify our fragmented healthcare and welfare system. By scaling our country's frontline medical and social services workforce, we aim to bring high-touch care to everyone. At Pair Team, we're not just delivering care—we're transforming it. We're building a future where high-touch, community-driven care is accessible to everyone, especially the most underserved. • Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most, • TechCrunch: Building for Medicaid's regulatory moment with Neil Batlivala from Pair Team, • Journal of General Internal Medicine: A Novel Intervention for Medicaid Beneficiaries with Complex NeedsAbout the Opportunity As Director of Product Marketing, you will own how Pair Team connects its product to the people we serve. You sit at the intersection of product, growth, and the patient across our service lines and programs within Medicaid and Medicare and you own the work that turns a powerful care platform into patients who enroll, engage, and stay. You are the voice of the patient inside the company and the voice of the product in the market. This is a hands-on role for someone who loves both the craft and the evidence behind it. You will build a deep, research-backed understanding of who our patients are and what they need, translate it into sharp positioning and messaging, and turn that into the welcome, onboarding, and lifecycle experiences that drive activation and retention. You will own the message architecture that our paid media, brand, care teams, and AI care advocate all draw from, and you will raise the bar on every patient-facing touchpoint. You will be the two-way bridge between product and patient, translating what we build into language that resonates, and carrying patient insight and friction back into the roadmap so that we build the right things. You will partner closely with Product and Growth on go-to-market for new features and service lines, with Performance Marketing and Brand & Creative on the positioning and creative that lift conversion and lower acquisition cost, and with Clinical and Operations on patient experience and satisfaction. You will protect compliance and patient trust at every step. This is a fully remote position reporting to the SVP of Growth & Marketing. What You'll Do Patient & Market Insight • Build a deep, continuously refreshed understanding of our patients and members across Medicaid and Medicare — who they are, what they need, and what moves them to enroll, engage, and stay., • Own audience segmentation and voice-of-patient research, both qualitative and quantitative, and synthesize it into clear, actionable insight the whole company can use., • Track the competitive and category landscape and translate it into how we position and differentiate. Positioning, Messaging & Narrative • Own Pair Team's patient-facing positioning and value propositions across service lines, and the message architecture that paid media, brand, the care team, and our AI care advocate all draw from as a single source of truth., • Craft messaging that resonates with real people — clear, human, and tested — and the narratives that make Pair Team easy to choose and easy to trust., • Develop messaging and packaging for new audiences, programs, and markets as we expand. Patient Experience & Lifecycle Marketing • Own and elevate the patient journey end to end — welcome kits, onboarding, after-visit communications, and re-engagement — so more patients activate and stay engaged., • Design lifecycle and member-communication programs across channels, partnering with Care and Operations to make every touchpoint feel personal and supportive., • Treat activation and retention as products to be improved, not one-off campaigns to be run. Product Partnership & Go-to-Market • Serve as the two-way bridge between product and patient: translate Flora (our AI care advocate), Arc, and patient-facing experiences into clear patient language and assets., • Carry patient insight, objections, and friction back into the product roadmap so we build what patients actually need., • Lead go-to-market for new patient-facing features and service-line launches, end to end., • Partner with Performance Marketing and Brand & Creative to lift conversion across the funnel — landing pages, intake flows, creative, social proof, and bilingual experiences., • Run message and creative testing with statistical discipline, and define how product marketing's impact is measured across conversion, activation, retention, and message performance., • Build the feedback loops that turn results into sharper messaging, better experiences, and clearer roadmap signal.What You'll Need, • 6+ years in product or lifecycle marketing, including direct ownership of positioning, messaging, and go-to-market for a product or service., • A proven track record of turning customer or audience insight into positioning and messaging that measurably moved conversion, activation, or retention., • Strong qualitative and quantitative research skills — audience research, segmentation, and message testing — and the ability to synthesize them into a clear narrative., • Excellent writing and storytelling; you can make complex things simple and write for real people, not just buyers., • Experience partnering closely with product and design to shape a roadmap and launch new features or experiences., • Comfort with data and measurement — funnel metrics, A/B testing, and cohort and retention thinking — and fluency partnering with analytics., • Experience operating in early-stage, high-growth environments with high ambiguity, minimal process, and direct accountability for outcomes., • A systems mindset — you improve outcomes with better research, messaging, and repeatable workflows, not just more output., • Deep alignment with Pair Team's mission and a commitment to advancing equitable care for underserved communities. Bonus Points for any of the following: • Consumer or direct-to-patient lifecycle marketing experience (welcome, onboarding, retention)., • Healthcare, Medicaid, Medicare, or other regulated-industry experience, with working knowledge of HIPAA and patient-outreach best practices., • Experience marketing AI or technology products, especially to non-technical audiences., • Bilingual (English/Spanish) or experience marketing to bilingual and multicultural audiences.Our Values Lead with integrity: We keep our commitments and take responsibility for our actions. We are dependable and choose authenticity over perfection. Embrace challenges: We leave our egos at the door and step forward into discomfort instead of back into safety. We help each other to learn and provide feedback using candor and kindness. Break through walls: We go the extra mile for our patients, partners and one another, and we run toward hard things. We are resilient in our push for consistent improvement and challenge the status quo. Act beyond yourself: We build each other up and respect boundaries. We seek first to understand and assume positive intent. Care comes first: We hold ourselves to the highest standards for our patients. We are relentless in the pursuit of our mission, and ensure that we are taking care of ourselves in order to care for others. Because We Value You • Competitive salary: $180,000 - $200,000, • Equity compensation package, • Flexible vacation policy – take the time you need to recharge, • Comprehensive medical, dental, and vision coverage, • 401(k), • 100% company-sponsored short and long-term disability and life insurance, • Subsidized backup childcare and caregiver supports through Wellthy, • Work entirely from the comfort of your own home, • Monthly $100 work from home expense stipend, • We provide the equipment needed for the role, • Opportunity for rapid career progression with plenty of room for personal growth! Pair Team is an Equal Opportunity Employer. At Pair Team, we value diversity and strive to provide an inclusive environment for all applicants and employees. All applicants will be considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, marital status, age, disability, political affiliation, military service, genetic information, or any other characteristic covered by federal, state, or local law. Pair Team participates in E-Verify to verify employment eligibility for new hires. Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use. We do not conduct any TA business outside of our @pairteam.com emails. If you're ever concerned about spam or fraudulent activity, please reach out to recruiting@pairteam.com. Note: Please be aware that while we sincerely appreciate your interest, due to the high volume of requests, we're unable to respond to general position inquiries via email. To apply for a position with us, please submit your application for the role you are interested in. Our team regularly reviews applications and will reach out to candidates whose qualifications align with our current openings listed below. Thank you!

Job Description Be Part Of A High-Performing Team This role supports a global financial services organization operating complex, multi-asset trading and post-trade platforms. The team builds and maintains enterprise systems that support the full lifecycle of financial products across multiple asset classes, with a strong emphasis on scalability, data integrity, and regulatory compliance. Engineers on this team collaborate closely with product owners, quantitative teams, and downstream consumers to ensure accurate event processing, reliable data flows, and resilient system behavior in a fast-moving financial environment. What’s In Store For You This engagement offers the opportunity to work on mission-critical capital markets platforms that support middle and back office functions across multiple asset classes. You’ll contribute to systems that process high-volume events, manage complex product lifecycles, and power downstream risk, finance, and reporting functions. The role provides exposure to enterprise-scale architecture, event-driven systems, and deep financial domain challenges within a collaborative, engineering-focused environment. How You Will Make An Impact • Design, build, and maintain application components supporting middle and back office functions across multiple asset classes, • Develop and enhance event-driven architectures that process trade, position, and lifecycle events reliably and at scale, • Model financial products and their full lifecycles, ensuring data structures accurately represent state transitions and business events, • Build and maintain services that consume and publish events to downstream systems (risk, P&L, reconciliation, reporting), • Collaborate with cross-functional teams to ensure data consistency, regulatory compliance, and operational resilience, • Troubleshoot and resolve production issues in distributed enterprise systems using logs, metrics, and event tracing, • Contribute to system documentation, data models, and architectural standards Are you an experienced capital markets technologist ready to make an impact? • 10+ years of experience developing enterprise applications in financial services environments, • Proven experience supporting multi-asset class platforms (e.g., equities, fixed income, FX, derivatives, structured products), • Strong background in middle and/or back office systems, including post-trade processing, lifecycle management, or regulatory reporting, • Hands-on experience with event-driven architectures (e.g., messaging, streaming, asynchronous workflows), • Solid data modeling experience, including defining schemas that represent product lifecycles and business events, • Proficiency in at least one enterprise programming language such as Java, C#, or Python, • Experience working in regulated environments with strict controls around data security, privacy, and auditability, • Strong communication skills and the ability to collaborate across technology and business teams

Job Description Investment Opportunities Manager Career Launch AI Talent Network Location: New York, NY (Hybrid) Employment Type: Full-Time Industry: Investment Banking / Private Equity / Venture Capital / Financial Services Experience Level: Analyst / Early Career Compensation: Competitive base salary + performance bonus (varies by employer) About This Opportunity This posting represents the type of Investment Opportunities Manager roles featured within the Career Launch AI Private Job Board. It is not a direct job opening with a specific employer. Members of the Career Launch AI platform gain access to exclusive finance, consulting, and technology opportunities that may not appear on public job boards. This description reflects a typical early-career role focused on investment sourcing, evaluation, and portfolio management. More information is available at careerlaunch.ai. Representative Role Overview A leading investment firm, private equity fund, or venture capital organization may seek an Investment Opportunities Manager to identify, evaluate, and manage potential investment deals. This role is ideal for candidates interested in deal origination, market analysis, and investment strategy execution. Key Responsibilities Source and identify high-potential investment opportunities across sectors and geographies Conduct detailed financial, operational, and strategic due diligence on prospective investments Build and maintain financial models to evaluate investment returns, risk, and strategic fit Collaborate with internal teams to prepare investment memoranda, presentations, and recommendation reports Support investment committee processes and participate in decision-making discussions Monitor market trends, competitor activity, and sector dynamics to inform investment strategy Assist with portfolio tracking, reporting, and ongoing relationship management with portfolio companies Desired Qualifications Bachelor’s degree in Finance, Economics, Accounting, Business, or a related discipline Strong skills in financial modeling, valuation techniques, and investment analysis Excellent analytical, quantitative, and communication abilities Ability to handle multiple investment evaluations and workstreams in a fast-paced environment High attention to detail, strong organizational skills, and proactive problem-solving capabilities Prior internship or experience in investment banking, private equity, venture capital, corporate development, or fund management is beneficial Proficiency in Excel, PowerPoint, and common financial research tools Why This Posting Matters This Investment Opportunities Manager description reflects the types of opportunities available exclusively to Career Launch AI members, including: Roles shared directly with Career Launch AI by employers Opportunities not posted publicly Warm introductions to hiring managers and recruiters AI-supported job targeting and application support Interview coaching and preparation Career Launch AI members gain access to over 1,000+ curated roles across: Investment Banking & Corporate Finance Private Equity & Venture Capital Corporate Development & Strategy Strategy Consulting Technology (FAANG-level and startups) Product Management Data, Operations, and more How Career Launch AI Helps Candidates Career Launch AI is a career acceleration platform designed to help job seekers secure competitive roles more efficiently. Members receive: AI-powered job application automation Personalized recruiter outreach Warm introductions to decision-makers Sector-specific resume optimization Interview preparation and ongoing support This posting is an example of the types of positions members may pursue through the platform. How to Access Opportunities Like This To be considered for roles of this type, candidates must enroll in the Career Launch AI platform. Career Launch Assessment Link: https://careerlaunch.ai/assessment Once enrolled, members receive: Access to the exclusive job board Personalized recruiter outreach Automated job applications Coaching and interview preparation Ongoing support until placement

Job DescriptionCompany Description Talan is an international group that supports our clients in their end-to-end Data & AI transformation by combining management consulting with technological expertise. With over 6,000 employees across five continents, we accelerate our clients' transformations through long-term partnerships, creating measurable and sustainable impact. Our value proposition is built on a structured innovation ecosystem: 2,500 Data & AI experts, proprietary solutions built on advanced models, and an applied research, experimental development, and innovation laboratory. In Americas, our multidisciplinary teams bring over 30 years of experience helping business leaders across key industries achieve measurable performance and strong ROI, designing, building, and scaling solutions that enable companies to grow more efficiently. Job Description Location: NYC (Hybrid – at least 4 days onsite/week) Visa Sponsorship: We offer sponsorship under specific treaty-based U.S. work visas, including TN and E-2 (for eligible Canadian, Mexican, and French citizens). We do not support or transfer other visa types (e.g., H-1B). We are seeking a highly skilled Senior Java Developer to join a global team building and enhancing low-latency, high-throughput trading applications. The role requires close collaboration with trading, quantitative, risk, compliance, and IT teams to deliver innovative electronic trading solutions leveraging modern technologies and architectures. Responsibilities • Design, develop, and support low-latency, event-driven trading systems., • Work closely with traders, quants, and other business stakeholders to translate requirements into scalable solutions., • Provide accurate work estimates and contribute to technical architecture and design., • Ensure code quality with CI/CD, static and dynamic code analysis, and security scans., • Mentor developers and provide technical guidance., • Participate in all phases of the software delivery lifecycle, from analysis to production support. #LI-MNRK Qualifications Education & Experience • Bachelor’s degree in Computer Science, Engineering, or Mathematics., • 5–8 years of experience in trading system development., • 5+ years hands-on enterprise Java development (Java 11–17)., • Strong experience with asynchronous, event-driven programming and concurrency., • Proven background in low-latency, high-throughput application development., • Strong mix of technical (60%) and business (40%) skills with the ability to work across global teams. Preferred Skills • Spring (Spring Boot, Spring Boot Actuator)., • Apache Camel 3, JMS (Active MQ or similar)., • REST APIs (enterprise authentication & authorization)., • MS SQL Server and/or Sybase., • Knowledge of electronic trading workflows (e.g., RFQ) and market integrations (ION, TradeWeb, Bloomberg). Company’s Benefits At Talan, we invest in our employees' well-being and empower them with benefits, including: • The salary range for this role is US$120,000 - US$150,000, • 401(k) retirement plan with company matching, • 15 days of paid vacation per year at hire and up to 27 according to seniority (annual untaken vacation days are cashed out), • 8 paid holidays + 5 sick days + 2 personal days per year, • ❤️️‍Company health, dental, and vision insurance plans + FSA, • Voluntary STD and LTD, • Commuter/transit benefits All your information will be kept confidential according to EEO guidelines.

Job Description Deal Structuring Coordinator Career Launch AI Talent Network Location: New York, NY (Hybrid) Employment Type: Full-Time Industry: Investment Banking / Financial Services Experience Level: Analyst / Early Career Compensation: Competitive base salary + performance bonus (varies by employer) About This Opportunity This posting represents the type of Deal Structuring Coordinator roles featured within the Career Launch AI Private Job Board. It is not a direct job opening with a specific employer. Members of the Career Launch AI platform gain access to exclusive finance, consulting, and technology opportunities that may not appear on public job boards. This description reflects a typical early-career role focused on deal structuring, transaction coordination, and execution support. More information is available at careerlaunch.ai. Representative Role Overview A leading investment bank, private equity firm, or corporate development team may seek a Deal Structuring Coordinator to support transaction structuring, financial modeling, and deal execution. This role is ideal for candidates interested in bridging client strategy, financial analysis, and transaction logistics. Key Responsibilities Support deal structuring and execution for M&A, capital raising, or strategic transactions Assist in building and maintaining financial models to analyze transaction terms, financing structures, and valuation scenarios Conduct market research, benchmarking, and preliminary due diligence to inform deal decisions Prepare client-facing materials including pitch decks, investment memoranda, and term sheets Coordinate with internal and external teams, including legal, compliance, and finance, to ensure smooth transaction workflows Maintain data rooms, track deal milestones, and support closing processes Collaborate with senior bankers and deal teams to implement and optimize transaction structures Desired Qualifications Bachelor’s degree in Finance, Economics, Accounting, Mathematics, or a related discipline Strong skills in financial modeling, valuation techniques, and transaction analysis Excellent analytical, quantitative, and communication abilities Ability to manage multiple deals and workstreams in a fast-paced environment High attention to detail and strong organizational skills Prior internship or full-time experience in investment banking, corporate development, private equity, or related finance functions is beneficial Proficiency in Excel, PowerPoint, and common financial research tools Why This Posting Matters This Deal Structuring Coordinator description reflects the types of opportunities available exclusively to Career Launch AI members, including: Roles shared directly with Career Launch AI by employers Opportunities not posted publicly Warm introductions to hiring managers and recruiters AI-supported job targeting and application support Interview coaching and preparation Career Launch AI members gain access to over 1,000+ curated roles across: Investment Banking & Corporate Finance Private Equity & Venture Capital Corporate Development & Strategy Strategy Consulting Technology (FAANG-level and startups) Product Management Data, Operations, and more How Career Launch AI Helps Candidates Career Launch AI is a career acceleration platform designed to help job seekers secure competitive roles more efficiently. Members receive: AI-powered job application automation Personalized recruiter outreach Warm introductions to decision-makers Sector-specific resume optimization Interview preparation and ongoing support This posting is an example of the types of positions members may pursue through the platform. How to Access Opportunities Like This To be considered for roles of this type, candidates must enroll in the Career Launch AI platform. Career Launch Assessment Link: https://careerlaunch.ai/assessment Once enrolled, members receive: Access to the exclusive job board Personalized recruiter outreach Automated job applications Coaching and interview preparation Ongoing support until placement

Job DescriptionAbout Monstro Monstro provides the AI-powered Financial Intelligence System for regulated financial institutions. It enables banks and wealth managers to deliver continuous, personalized, governed Financial Guidance to every client, not just the top tier, across their entire financial life: saving, borrowing, investing, planning, protecting, and preparing. Meaningful Financial Guidance has only ever been available to a small portion of people. We are changing that, through the institutions people already trust. Institutions already have the relationships, the data, and the context to understand each client; Monstro turns that understanding into guidance that helps each person understand, decide, and act. For clients, that means clearer decisions, proactive support when life changes, and a better view of their financial lives. For institutions, it means deeper relationships, more clients served consistently, and more of each client's financial life managed in one place. What makes this possible is how the system is built. Governance is not an added feature; it is foundational. Every recommendation reflects the institution's own views, policies, and permissions. Every output can be audited, traced, and reversed, and client data stays under the institution's control. Generative AI is used to build and configure the system; at runtime, execution is deterministic, so every output can be explained and stood behind, not just trusted. The work We are building for a high-stakes industry where the work has real consequences. Guidance only matters if people can trust it and institutions can govern it. The challenge is to make Financial Guidance more personal and more available without making it less trusted: to build AI that institutions can audit, explain, and reverse, in a domain where being wrong carries real cost. That is what makes the problem hard, and the work meaningful. This is not a simple AI problem; it takes product judgment, technical depth, regulatory discipline, design quality, and a team that moves quickly without lowering the bar. Monstro is moving from vision to market: launching with financial institutions, growing the team, and building for the enterprise in one of the most regulated industries. You will be expected to think clearly, communicate directly, move with urgency, hold a high standard, and take responsibility for work that matters. We are an early team building something ambitious, and what you do here will shape both the product and the company. About the Role We're looking for a Staff Software Engineer to support our AI application development team at the heart of the company's mission. This is a deeply technical role with real scope: you'll architect and ship systems that power AI-driven financial analysis, build the tooling and infrastructure that domain experts rely on, and set the engineering bar for how we build AI systems responsibly in a regulated industry. You'll influence how we design agents, how we validate and govern AI output, how we scale our modeling infrastructure, and how we think about auditability and compliance. This isn't a role where AI is a thin wrapper — the intelligence layer is the product. What You'll Do • Architect and build AI agent systems — including multi-agent workflows, orchestration layers, and the infrastructure that makes them reliable and auditable in production, • Work at the edge of what's possible with modern AI — rapidly evaluating new models, tools, and development patterns, and setting the technical direction for turning the most promising capabilities into robust production systems., • Design modeling and reasoning systems that meet the correctness and explainability requirements of financial services — where every recommendation needs to be traceable and defensible, • Build internal applications and platforms (Python/React) that enable domain experts and engineers to author, validate, and deploy AI-powered analysis at scale, • Document your decisions, ensure sufficient test coverage and generate AI native artifacts to share your work with others, • Own distributed backend infrastructure: event-driven workers, job pipelines, and multi-stage processing systems that deliver AI outputs reliably under load, • Establish patterns for AI output validation and quality assurance — including automated evaluation pipelines, hallucination detection, and compliance guardrails, • Drive technical decisions across teams: schema design, API contracts, system boundaries, and service architecture, • Contribute to full stack application development, • Lead engineering initiatives across team members and cross functional partners, • Establish and promote engineering and architecture best practices and the adoption of new AI technologies and techniques, • Mentor senior engineers and raise the engineering bar across the organization What We're Looking For, • 8+ years of engineering experience, with a track record of leading complex systems from design to production., • Deep curiosity about where AI-native software is heading, with the technical judgment to separate promising new capabilities from hype and help shape how emerging approaches are adopted across the engineering organization., • Hands-on experience designing, building, and shipping production software systems using AI development tools, especially AI-powered software, • Strong software engineering skills and experience with a demonstrated track record contributing to best practices application architecture, • Python expertise — async services, type-safe code, and systems that scale, • Strong distributed systems fundamentals: event-driven architectures, message queues, job state machines, and worker patterns, • Relational database fluency and an instinct for data modeling, • Full-stack range — you can build product-quality React/TypeScript UIs when the problem calls for it, • Opinionated about how AI systems should be tested, evaluated, and monitored in production, • Experience leading technical teams or acting as a force multiplier across engineeringPreferred but not required, • Hands-on experience with AI/ML systems — agent architectures, LLM integration, model evaluation, or AI pipelines in production, • Opinionated about how AI systems should be tested, evaluated, and monitored in production, • Experience designing multi-agent systems, agentic workflows, or AI orchestration layers, • Data engineering experience developing data pipelines handling big data, • Experience contributing to cloud infrastructure using infrastructure as code, • Background in quantitative finance, financial planning, or wealth management technology, • Experience building AI systems in regulated industries (financial services, healthcare, legal) or with compliance, auditability, or explainability requirementsWhy Monstro?, • Impact: Build technology that helps millions of people make better financial decisions, through the institutions they already trust, and help define the category of Financial Intelligence., • Ownership: High trust, high ownership, high standards. You will own meaningful problems end to end from day one., • Experienced team: Work with leadership that has a track record of scaling companies from early stage to major exits., • Principles-driven culture: We move fast, because the opportunity is urgent. We communicate directly, because clarity saves time. We hold a high standard, because institutions and clients need to trust what we build., • In person, in New York: We are headquartered at The Spiral in Hudson Yards and work in the office four days a week, because our pace depends on fast collaboration., • Compensation and benefits: Competitive cash compensation and meaningful equity, plus 100% employer-paid medical, dental, and vision coverage, disability coverage, flexible PTO, paid parental leave, and catered meals. Base Compensation Range (New York City): $224,000 - $264,000 Final compensation will depend on a variety of factors, including experience, skills, internal leveling, and market conditions, and will be offered within the stated range in accordance with applicable pay transparency laws. A Note on Interviewing: We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application; otherwise we'll take your application as confirmation that you're happy for us to use note-takers (whether added to video calls or in the background). Ready to Build With Us? The standard is simple: do great work, own the outcome, communicate with purpose, move with urgency, raise the level. If that sounds like you, we'd love to hear from you.

Job Description KYC Platform Transformation Product Manager (VP / SVP) Location: New York, NY (Financial District) Position Type: Full-Time Estimated Base Salary: $100,000 – $250,000 (plus discretionary year-end bonus eligibility) Company & Team Overview Our client is a premier, top-tier global investment banking and securities firm headquartered in New York City. The Financial Crime Compliance (FCC) division coordinates the enterprise-wide Anti-Money Laundering (AML), economic sanctions, e-communications, and anti-bribery compliance initiatives. Composed of industry-leading professionals with backgrounds in regulatory bodies, legal practice, forensic consulting, and complex operations, the FCC team utilizes advanced control processes, deep investigative expertise, and data surveillances to identify and mitigate financial fraud, securities violations, and money laundering risks on a global scale. Job Summary The FCC division is seeking a highly experienced Senior Product Manager (VP/SVP level) to take on firmwide ownership of their Know Your Customer (KYC) compliance systems and product portfolio. In this role, you will lead the KYC Product Management and Change teams, acting as the primary visionary and strategist to ensure our compliance products align with evolving global regulatory frameworks while remaining hyper-efficient. You will collaborate closely with executive leadership, operational partners, and engineering stakeholders to define the long-term product roadmap. This includes prioritizing platform enhancements, managing system requirements from conception to execution, and integrating cutting-edge capabilities such as Generative and Agentic AI, machine learning, and graph network solutions. Principal Responsibilities • Product Strategy & Vision: Develop and execute the comprehensive product strategy for firmwide KYC compliance solutions in tandem with senior leadership across Compliance, Operations, Engineering, and core business units., • Roadmap & Lifecycle Management: Maintain and prioritize the product backlog and roadmap based on shifting regulatory dynamics, program priorities, and emerging technology solutions., • Requirements Architecture: Translate complex international regulatory compliance requirements into actionable technical logic; write and refine detailed business requirements, criteria for success, and acceptance criteria in JIRA., • Change Management Coordination: Partner with dedicated Change Management and Engineering teams to manage release schedules, system rollouts, and ensure global stakeholder awareness of platform capabilities., • Team Leadership: Directly manage, mentor, and grow a high-performing team of KYC Product Managers. Basic Qualifications • Education: Bachelor’s or Master’s degree in a quantitative or related discipline (e.g., Legal, Finance, Computer Science, Engineering, Product Management, Statistics, or Economics)., • Industry Experience: Minimum of 10 years of product management experience at a large, highly regulated global financial institution., • Subject Matter Expertise: At least 10 years of direct experience navigating complex Know Your Customer (KYC) / AML frameworks (via Operations, Execution, Compliance, or Legal functions)., • Technical & Data Aptitude: Thorough understanding of data structures, data analysis methodologies, and query languages such as SQL., • Project Tooling: Advanced proficiency with JIRA for requirement mapping, alongside standard corporate tools (Excel, PowerPoint)., • Communication Skills: Exceptional written and verbal communication abilities; a proven track record of translating legal/compliance mandates into technical requirements for engineering consumption., • Work Style: High sense of urgency, strong work ethic, and the ability to adapt seamlessly to a fast-paced environment. Preferred Qualifications • Advanced Analytics: Practical exposure to data manipulation tools and advanced analytics software (e.g., Alteryx, Tableau, R, or Python)., • Modern Legal-Tech Experience: Prior experience implementing or expanding advanced automated capabilities, including AI, machine learning models, and graph networks within an infrastructure., • Scale: Background steering large-scale, enterprise-level legacy system transformations., • Industry Knowledge: Deep modern awareness of global AML trends, typologies, and forensic financial patterns. Benefits Summary The organization is dedicated to providing its workforce with an industry-leading, highly competitive benefits portfolio designed to foster personal and professional growth. Comprehensive packages include premium health/wellness offerings, retirement and personal financial advisory programs, continuous learning opportunities, and robust corporate diversity network initiatives. Our client is an Equal Opportunity Employer committed to fostering an inclusive workplace and accommodating individuals with special needs or disabilities throughout the recruitment process.

Job Description About Us: Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities' risk management, world-class technology, and talented traders have enabled it to become one of the world's largest liquidity providers and risk allocators in the energy and commodities spaces. DV Commodities currently has over 35 desks, with traders and staff located in London, New York, Chicago, Houston, and Dubai. Overview: As a Software Development Intern, you'll work in small groups within our development team and/or trading teams to assist in building low latency applications, systems and trading tools that will make a direct impact to DV. You'll deliver well-scoped, self-contained projects within our established production codebase, learning to build new functionality that integrates cleanly with mature systems. You'll use AI tools to accelerate your development while taking full ownership of the code you ship. Through your work and other development opportunities, you will grow your technical skills and understand how our technology stack empowers our firm to serve our trading teams. Requirements: • Currently pursuing a degree in Computer Science, Computer Engineering or related field and expected to graduate between Winter 2027 and Summer 2028, • Proficient in one or more general purpose programming languages, including C++ and/or Python, • Ability to read and navigate an existing codebase and deliver a contained project within it, • Effective use of AI coding tools paired with the ability to critically review generated code and own its correctness, • Strong quantitative, analytical and problem-solving skills, ideally applied to numerical or performance-sensitive problems, • Ability to work onsite at our New York office 5 days a week Compensation: $50.00 per hour DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Job Description Who We Are: Oppenheimer & Co. Inc. (“Oppenheimer”) is a leading middle-market investment bank and full-service broker-dealer. With roots tracing back to 1881, the Company is engaged in a broad range of activities in the financial services industry, including retail securities brokerage, institutional sales and trading, investment banking (both corporate and public finance), equity & fixed income research, market making, trust services and investment advisory and asset management services. Job Description: Oppenheimer & Co. Inc., a leading mid-tier investment bank, is currently seeking an equity research associate to support our Semiconductors team. The position is located in New York City. The research associate will work in conjunction with and support the senior research analyst in all aspects of developing and marketing equity research products, including company research reports, models, and industry analysis on the Semiconductor supply chain. The position demands independence, initiative, and entrepreneurship. The candidate must have at least two years of Equity Research experience, Semiconductors preferred. Additionally, the candidate should have a strong background in finance and accounting, be proficient at modeling companies, and have a passion for equity research. In addition, qualified candidates must be able to demonstrate that they are detailed-oriented, possess an ability to write concisely, and can work well under pressure. Candidates with Semiconductor industry experience could be considered. In addition to the above, we are looking for a person who possesses, or has the potential to possess, the following characteristics: • Strong financial modeling, accounting, valuation, and quantitative skills. Associates are responsible for building and maintaining integrated I/S, B/S, and C/F models, and for organizing and maintaining industry data., • Strong writing and analytical skills. Associates are responsible for writing and producing company initiations, equity research reports, and marketing presentations., • A passion for the stock market, the technology industry, and equity research. It is highly advantageous to have exposure to the financial markets and equity research, as well as an understanding of the day-to-day responsibilities of an equity research associate., • Strong sales and communication skills. Associates will interact with internal sales and trading and external clients. Responsiveness and professionalism are important., • Ability to work independently and initiate and accomplish projects with minimal supervision. Self-starters with a strong work ethic are highly desirable. These are necessary skills given the dynamic working environment and demands of working on Wall Street., • Ability to organize, prioritize and manage multiple projects simultaneously., • PC skills: the position requires strong Excel skills and a fair command of Word, PowerPoint, Bloomberg and FactSet. Compensation: For job postings in New York City, Oppenheimer is required by law to include a reasonable estimate of the salary range for this role. This salary range is specific to the City of New York and takes into account the wide range of factors that are considered in making salary decisions including but not limited to your skills, qualifications, experience, licensure and certifications, and other business and organizational needs. A reasonable estimate of the current base salary range is $100,000.00 - $150,000.00 at the time of this posting. Also, certain positions are eligible for additional forms of compensation such as discretionary bonus.