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Manager, Data Scientist - Emerging Payments & Airkey Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Emerging Payments organization develops and maintains innovative payment experiences for Capital One customers, including digital wallets, virtual card numbers, merchant checkout experiences, transaction intelligence, and new commercialization opportunities. Our data science team builds machine learning models that help our customers securely facilitate, control, and understand their spend. These models power customer-facing features and experiences that reach tens of millions of customers. We cleanse, enrich, and use large scale card and debit data from Capital One and, more recently, Discover, as well as national metadata datasets around merchants, places, and more. Leveraging the latest approaches and tools, we primarily work with models such as XGBoost, transformers, embeddings, and LLMs, using SQL, Python (and some Scala), tensorflow and pytorch, with Databricks, Snowflake, and other internal platforms and tools. On any given day you’ll be: * Creating machine learning models from development through testing and validation to our 30+ million customers in production * Designing rich data visualizations to communicate complex ideas to customers or company leaders * Investigating the impact of new technologies on the future of mobile banking and the financial world of tomorrow In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product that customers love * Leverage a broad stack of technologies - SQL, Python, Conda, AWS, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data * Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation * Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. * Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics * At least 1 year of experience leveraging open source programming languages for large scale data analysis * At least 1 year of experience working with machine learning * At least 1 year of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data science. Bonus points for experience with transformers * At least 4 years of experience in Python, Scala for large scale data analysis * At least 4 years of experience with machine learning * At least 4 years of experience with SQL * At least 1 year of experience working with AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. New York, NY: $215,200 - $245,600 for Mgr, Data Science 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Manager, Data Science - AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics * At least 2 years of experience leveraging open source programming languages for large scale data analysis * At least 2 years of experience working with machine learning * At least 2 years of experience utilizing relational databases Preferred Qualifications: * PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 5 years’ experience in Python, Scala, or R * At least 5 years’ experience with machine learning * At least 5 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $225,400 - $257,200 for Sr Mgr, Data Science New York, NY: $245,900 - $280,600 for Sr Mgr, Data Science San Jose, CA: $245,900 - $280,600 for Sr Mgr, Data Science 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One’s digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. * Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: * Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. * Technical. You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. * Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. * You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. * You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics * A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics * A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: * Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) * Experience working with AWS * At least 3 years’ experience in Python, Scala, or R * At least 3 years’ experience with machine learning * At least 3 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Vice President, Quantitative Research with BNP Paribas Securities Corp. in NY NY. Operate as a Front Office Quant Researcher on Quant Research w/in Global Mkts. Positn reqs a Master's deg (US or For Equiv) in Financl Engg or Computational Fin & 2 yrs of exp performg modl research & validatn w/in an internat'l flow rates mkt. Must havem 2 yrs of exp w/: Producg productn-ready code w/ respect to modelg, analyticl & pricg tools, & validatn of data & automatn of processes usg Python or C++, in a financl srvices environmnt; Collaboratg w/ the bus to gather requiremnts & dvlp technologies & models meeting bus needs; Carrying out research in financl math applied to rates &/or FX derivatives (eg. Swaps, Bonds, FX Swaps, Repo, Inflation); & supportg a tradg desk from a quant perspective, addressing day-to-day issues & requests, & providg strategic solutns. Sal: $165,000 - $220,000/yr. Qualified Applicants: Apply at en_US/externalcareers/ JobDetails?jobId=90895&source= BNP+Paribas+website JobiqoTJN. Keywords: VP Quantitative Research, Location: New York, NY - 10060

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

\n Senior Associate, Liquidity Risk \n 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. \n 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. \n We’re seeking a future team member for the role of Senior Associate to join our Treasury Risk team. This role is located in New York City \n In this role, you’ll make an impact in the following ways: \n\n • Providing independent oversight of liquidity risk management through review and challenge informed by technical analysis, subject matter expertise, and robust consideration of risk appetite. \n, • Engaging with partners in Corporate Treasury, Finance, Businesses, and other Risk teams to identify solutions that support BNY’s Client and Enterprise Platforms.\n, • Supporting senior management to develop and maintain liquidity risk frameworks, including risk identification and assessment, design and calibration of limits, and effective governance.\n, • Creating new tools and enhanced processes that leverage AI, automation, and technology resources to improve the team’s ability to measure and monitor risks across the organization.\n, • Delivering presentations to senior leadership to highlight risk analysis and validation of significant changes in risk metrics that support strategic liquidity risk initiatives. \n \n\n To be successful in this role, we’re seeking the following: \n\n • Bachelor’s degree in math, statistics, finance, economics, or a related discipline, or an equivalent combination of education and experience. Master’s degree preferred.\n, • Professional experience, with background in liquidity risk or other related financial risk departments within banking or financial services.\n, • Familiarity with liquidity and treasury risk management activities including funding, cash flow projections, deposit modeling, liquidity metrics, and stress testing.\n, • Experience building and maintaining risk frameworks and processes, collaborating with business and corporate function partners, and supporting other staff to ensure accurate, timely implementation and consistent practices.\n, • Strong communication and interpersonal skills. Ability to produce professional presentation decks using MS PowerPoint.\n, • Demonstrated ability to perform technical analysis, use data-driven approaches, and employ available tools and applications. Experience working with SQL, Python, or other languages is a plus, as is experience with data visualization software (e.g., PowerBI, Tableau).\n\n At BNY, our culture speaks for itself, check out the latest BNY news at: \n BNY Newsroom \n BNY LinkedIn \n \n Here’s a few of our recent awards: \n\n • America’s Most Innovative Companies, Fortune, 2025\n, • World’s Most Admired Companies, Fortune 2025\n, • “Most Just Companies”, Just Capital and CNBC, 2025\n\n Our Benefits and Rewards: \n 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. \n \n BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. \n \n BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $69,000 and $95,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. \n This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Senior Vice President, Model Risk Validation 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 are seeking a future team member for the role of SENIOR VICE PRESIDENT to join our MODEL RISK MANAGEMENT team. This role is located in NEW YORK. In this role, you will be focusing on validation and risk management of algorithmic trading models also with exposures to Market Risk and Pricing Modeling. • Independently perform end to end validation of algorithmic trading models, including analysis of model performance, assumptions, and limitations, design and execution of independent testing, documentation of validation findings, and communicating results to stakeholders., • Supervise model validations, model risk management activities through model lifecycle, and manage regulatory engagements, • Ensure effective processes and controls for prompt risk identification, assessment, mitigation, and tracking of issues related to model risk., • Behave ethically and adhere to BNY’s standards, including the Code of Conduct and applicable policies., • Demonstrate ownership and accountability for managing model risk holistically, engaging proactively with control functions., • Serve as a role model in creating and sustaining a strong risk culture and support the development of team members., • Master's Degree or PhD in a quantitative discipline, including engineering, mathematics, physics, statistics, econometrics., • The candidate must have a superb quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation, and communications skills., • Minimum 5 years (5 - 7 preferred) of modeling or validation experience in financial services., • Must have most recent experience with algorithmic trading modeling, including knowledge of market microstructure, limit order book dynamics, execution quality measurement, experience validating algorithmic trading strategies and strong understanding of risk controls for algorithmic trading. Experience with derivatives pricing modelling is a plus. 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. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $171,500 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual departmen BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $102,000 and $171,500 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Lead AI Engineer (MLX) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (FM Hosting, LLM Inference) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (AI Foundations) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Lead AI Engineer (Gen AI Platform Services) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Director, DEC/FXPB Risk Officer w/ BNP Paribas Securities Corp in NY, NY. W/in DEC & FXPB, the DEC/FXPB Risk team, play an integral part in the mgmt & monitoring of BNP exposure to its clients. Master's deg (US or For Equiv) in Bus, Econ, Math, Comp Sci, Engg, or Mgmt& 10 yrs of exp in a lrge bank or similar organizatn. Must have 10 yrs of exp w/ : Financl Math & Risk Modelg (PFE, EPE, VaR, Stress Test, & Scenario Specific); derivatives mkts (ETD & OTC) Across Financl (Equity, FX & IR) & Commodity Mkts; VBA, Python C++; Regulatory & Capital Framewrk; legal framewrks (RWA) & Collateral Framewrks (CSA & ISDA); & mkt &/or counterparty risk mgmt. Must have 1 yr of exp w/ DEC/FXPB Risk Capacity. FINRA Registrations 3 & 7 (Must have passed w/in 8 mos of hire). *Telecommuting permitted 20% w/in normal commuting distance. Sal: $240,000 - $295,000/yr. Qualified Applicants: Apply at /en_US/externalcareers/ JobDetails?jobId=90021&source= BNP+Paribas+website. JobiqoTJN. Keywords: Risk Manager, Location: New York, NY - 10060

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) Overview 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. Team Description: 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. In this role, you will: * 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. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Join an innovative company is looking to drive change in the marketplace. Healthcare client from the Northeast is in search of two Actuarial Analysts. These individuals will help lead day-to-day data & actuarial analytics, build & maintain long-term relationships with key industry partners, and use feedback to improve efficiency. The ideal candidate would be a student actuary or ASA with 3-5 years of actuarial experience, including experience in Medicare claims data, Value Based Care & emerging ACO models. Must be able to speak confidently to clients & senior leaders and possess strong technical skills in Excel, SQL and Python. (#58352) Compensation: Salary range of $120-150K Location: New York, NY

Join an innovative company looking to drive change in the marketplace. A tech-forward start-up has a great opportunity for an ACAS or FCAS to play a large role in the strategic growth of the company. This individual will help transform how casualty risk originators and capital providers price, transact, report on, and manage reinsurance & insurance-linked securities (ILS). The ideal candidate will have 7+ years of actuarial experience, including a strong reserving background, experience developing models used in real-world decision-making, and excellent programming skills in Python. (#58386) Compensation: • Remote

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Director, Head of Clinical Statistical Programming leads the Statistical Programming Organization reporting into the VP of Data Science, Evidence and Value Generation and Global Medical and Scientific Affairs. The Sr Director is accountable for overseeing statistical programming activities for all Clinical Development studies. The Sr Director will also manage all regulatory submission activities to health authorities around the world for statistical programming. The Sr Director will also maintain programming infrastructure and ensure compliance with SOPs to produce quality and timely deliverables. The Sr Dir will be tasked with overseeing the automation of much of the statistical programming workflow in partnership with the Enterprise R+D AAAI organization. The Sr Director will use his/her strong people management skills to provide direct line management to regular and contract statistical programmers. Essential Functions Lead, manage, develop, support and mentor statistical programming group within the Data Science Department Represent Clinical Statistical Programming and Data Science in cross functional projects and processes and Jazz as well as outside of Jazz. Lead and oversee development and implementation of the programming standards and practices to ensure alignment between department’s strategic direction and company’s R&D strategies Oversee the development and implementation of statistical programming SOPs and work instructions, including program validation and documentation Anticipate resource needs and work with management to ensure adequate resource allocation for all projects Participate in vendor qualification/selection and monitor vendor performance Responsible for providing programming leadership for preparation of datasets and TLFs (NDA/BLA) to FDA, EMA, or other worldwide regulatory agencies Ensure that the filing of study documentation is maintained to the standard required according to processes and is acceptable for audit Assume direct line management responsibility of the clinical statistical programmers Independently develop and validate programs that generate protocol-specific efficacy tables, listings, figures/graphs using specifications, if warranted Provide secondary reviews of Clinical Statistical Programming deliverables, if warranted Promote collaborations and build teamwork spirit within the department and cross-functionally Keep abreast of literature and advancements in SAS, R, Python and emerging programming languages Oversee the automation and implementation of AI in the statistical programming workflow Required Knowledge, Skills, and Abilities 10+ years of statistical programming experience in the Pharmaceutical/Biotech Industry or CRO with 7+ years of supervisory experience Experience leading submissions to worldwide regulatory agencies (FDA, EMA, PMDA, etc) Demonstrated strong leadership qualifications, including strategic thinking, contingency planning, problem solving, and dispute resolution skills Ability to execute and manage multiple simultaneous projects and deadlines with shifting priorities and resources in a fast-paced working environment Clear and effective verbal and written communications across disciplines in the company Extensive experience managing CROs or FSPs to scale up or down as the workload permits Good knowledge of drug development regulations pertinent to statistical analysis Solid experience with global clinical trial practices, procedures, and methodologies Thorough understanding of clinical trial design and reporting process, as well as regulatory reporting requirements including electronic data submissions and CDISC implementation Excellent SAS programming skills Must be highly-motivated and able to work well under pressure and shifting priorities independently as a team leader and as a team member Responsible for providing programming leadership for preparation of datasets and TLFs (NDA/BLA) to FDA, EMA, or other worldwide regulatory agencies Required/Preferred Education and Licenses Bachelor’s Degree is required or a Master’s Degree or higher is preferred in Statistics, Mathematics, or related fields. #LI-Remote Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. FOR US BASED CANDIDATES ONLY Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is: $252,000.00 - $378,000.00 Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis. At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz's Long Term Equity Incentive Plan. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. 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).

$35 - $100/hourpayStata SEAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: Econometric Data Analyst (Stata SE) Job Type: Contract Location: Remote Job Summary Join our customer's team as an Econometric Data Analyst (Stata SE), where you will leverage your expertise in advanced econometric modeling and Stata SE to deliver impactful, reproducible research solutions. You will tackle complex datasets, optimize workflows, and translate data-driven insights for academic and policy-driven environments. This is a unique opportunity for a Stata SE expert to contribute to high-impact projects from a fully remote setting. Key Responsibilities • Design and implement advanced econometric models using Stata SE, with a focus on panel data and causal inference techniques., • Develop, maintain, and optimize do-files for efficient data management, analysis automation, and reproducible workflows., • Conduct rigorous data cleaning, transformation, and validation of large-scale datasets to ensure accuracy and reliability., • Deliver clear, actionable insights through well-documented code, technical reports, and presentations tailored for academic and policy stakeholders., • Collaborate closely with our customer's team to understand project objectives, communicate findings, and iterate on analysis as needed., • Stay updated on best practices in econometric research and Stata SE functionalities, proactively sharing knowledge with peers., • Ensure that all research outputs meet high standards of reproducibility, transparency, and ethical data handling. Required Skills and Qualifications • Expert proficiency in Stata SE with demonstrated experience in econometric modeling and automation via do-files., • Advanced understanding of panel data analysis, causal inference methods, and large dataset optimization techniques., • Strong skills in data cleaning, preparation, and validation for complex statistical analysis., • Exceptional written and verbal communication skills, with a keen attention to clarity and detail., • Proven ability to document processes and present findings to diverse audiences in academic or policy contexts., • Experience in producing reproducible research outputs and ensuring high standards of analytic integrity., • Self-motivated, organized, and capable of thriving in a fully remote environment. Preferred Qualifications • Advanced degree (Master’s or PhD) in Economics, Statistics, Data Science, or a related field., • Prior experience collaborating on projects for academic or policy-focused institutions., • Familiarity with complementary statistical tools or programming languages (e.g., R, Python) is a plus.

As a Quant Investment Associate, you will be the analytical engine behind our Fixed Income platform. You will not only build the models but also interpret the data to provide strategic recommendations on portfolio construction, tactical asset allocation, and risk-adjusted optimization. This is a highly visible, front-office role where your work directly impacts the alpha generation of our Fixed Income mandates. Key Responsibilities Portfolio Construction & Optimization • Quantitative Modeling: Design and implement robust frameworks for multi-sector Fixed Income portfolio construction (including Sovereigns, Corporates, High Yield, and Securitized products)., • Optimization: Develop and refine optimization algorithms (e.g., Mean-Variance, Risk-Parity, or Factor-based) that account for transaction costs, liquidity constraints, and regulatory requirements (e.g., Basel IV/Solvency II)., • Alpha Generation: Utilize systematic signals and alternative data to identify relative value opportunities across global fixed-income markets., • Scenario Analysis: Conduct "Stress-Testing" and "What-If" simulations to quantify portfolio sensitivity to interest rate shocks, spread widening, or geopolitical events., • Custom Tooling: Build and maintain proprietary Python-based libraries for bond pricing, yield curve fitting, and attribution., • Visual Dashboards: Develop real-time dashboards (using Streamlit, Dash, or Tableau) to visualize portfolio exposures, risk concentrations, and performance drivers., • Ad-hoc Analytics: Rapidly respond to market events by performing deep-dive data analysis on specific sectors or idiosyncratic risks. Qualifications • Education: Masters or PhD in a STEM field (Financial Engineering, Mathematics, Physics, Statistics, or Computer Science)., • Experience: 3–10 years in a quantitative role within Fixed Income, ideally on the buy-side (Asset Management or Hedge Fund)., • Programming: Expert-level Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow). Experience with SQL and version control (Git) is essential., • Fixed Income Mastery: Deep understanding of duration/convexity, credit spreads, OAS, and the mechanics of structured products or derivatives (CDX, Swaps, Futures)., • Communication: Ability to bridge the gap between "Quant" and "PM"—explaining technical methodologies to non-technical stakeholders., • Commercial Acumen: A passion for markets and a drive to find profitable patterns in data., • Agility: Comfortable in a fast-paced trading floor environment where priorities can shift based on market volatility.

About Sigmoid Analytics: Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation! Why Sigmoid? • Inc. 500 Fastest-Growing Companies (4 years running), • Deloitte Technology Fast 500 (4 years running), • Top Employer: AIM’s 50 Best Firms for Data Scientists Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success. Desired Experience : • 8–12 years of overall experience., • 3+ years in consulting or client-facing analytics roles., • 3+ years of experience in CPG or adjacent commercial analytics environments., • Proven experience engaging with senior stakeholders and leading client conversations., • Strong track record in data science, statistics, and machine learning Role & Responsibilities : • Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions, • Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC)., • Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders, • Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities., • Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI, • Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required., • Perform a role that involves a combination of hands-on contribution and customer engagement, • Contribute to organization building through training, mentoring, and developing repeatable analytic approaches Primary Skills (Mandatory) • Strong foundation in ML and statistical concepts., • Proficiency in SQL, Python, and PySpark., • Experience with Snowflake, BigQuery, Azure, AWS, or Databricks., • Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics., • Ability to convert rigorous analysis into strategic recommendations., • Strong project management, communication, and team leadership skills, • Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space Secondary Skills (Good to have): • Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics., • Data engineering / MLOps experience., • Dashboarding experience with Power BI or Tableau, • Exposure to Agentic AI / LLMs or any other Gen AI capabilities

Overview: AmTrust Financial is seeking an ambitious and self-motivated intern to join the Excess & Surplus (E&S) Home Office Underwriting team this summer. In this role, you will leverage your analytical and data skills to help solve complex business issues impacting E&S Underwriting. This role may serve as a liaison between the E&S Home Office Underwriting department and all of the other departments that interface with the group. Responsibilities, May Include: • Be a key member of the Home Office Underwriting team that is accountable for the governance and operational performance of the E&S Underwriting group., • Working independently, effectively manage assigned project(s) using available tools and data systems to develop hypothesis, test and solve for strategic business issues within the company data/reports; troubleshoots when there are inconsistencies and presents findings to management., • Support development of business reporting tool(s) that monitor and drive Underwriting benchmarking and KPI tracking., • Collaborate across data analytics, IT, finance, underwriting business units and other corporate functions to gather relevant data and insights., • May assist in the preparation of any weekly, monthly, quarterly and/or annual reporting for the Underwriting units. Desired Qualifications: • Rising Senior (graduating in December 2026 or May 2027) actively pursuing a bachelor’s degree in a data-oriented field of study. This can include Data Science, Data Systems/Architecture, Analytics, Actuarial Science, Statistics, or related field with a demonstrated level of data analysis (e.g. Economics or Finance)., • Strong level of comfortability working in a data environment that may be limited, fragmented, or incomplete and seeing issues through to resolution, • Proficiency with data analytics software (MS-SQL or Snowflake preferred) and skilled in linking multiple data sources to organize data into a logical format for analysis. Experience with R and/or Python a plus but, not required., • Proficiency in Microsoft Office tools, particularly Excel, • Familiarity with PowerBI or other business intelligence tools (e.g. Tableau), • Excellent written, verbal, and interpersonal communication skills., • Strong organizational, analytical, and interpretive skills; attention to detail., • Ability to effectively multi-task and work in a fast-paced, team-oriented environment., • Minimum 3.0 cumulative GPA; additional requirements may apply The expected compensation for this role is $25/hour Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.

Job Title: Software Engineer - Media Platform (Python/AWS) Location: New York, NY Work Mode: Onsite Responsibilities: • Develop and maintain highly scalable, high performance and highly available systems., • Write well tested, efficient, and readable code., • The code should also be strongly structured with a view to reusability., • Ensure that all deliverables follow best practices around source control, CICD., • Manage individual project priorities, deadlines, and deliverables., • Ensure that solutions are in line with the other deliverables of the team and produce documentation so that others learn from and contribute to the work. Attend and contribute to meetings; complete tasks as assigned by supervisor. To be successful in this role, the right software developer will have: • Bachelor’s degree in computer science or a related discipline or equivalent experience., • 3+ years writing production code in Python. Familiarity with C# a plus., • 3+ years production experience with AWS. Certifications a big plus, • Proficiency in designing and interacting with NoSQL databases (DynamoDB)., • Experience with relational databases (MSSQL, PostgreSQL) a plus., • Proficiency building serverless systems with ephemeral compute (e.g., AWS Lambda, ECS) and orchestration (e.g., AWS Step Functions)., • Proficiency building event-driven architectures with message queues, topics., • Proficiency identifying applicability of design patterns and implementing them., • Proficiency using AI assisted coding tools and agents such as Cursor, Claude Code, or CoPilot., • Solid understanding of source control (git), unit testing, test driven development, CICD., • Knowledge of defining, packaging, and deploying cloud resources in CDK strongly preferred., • Knowledge of deploying and managing services in Kubernetes is strongly preferred., • Knowledge of building AI apps on platforms such as Bedrock/Vertex AI/Azure AI and familiarity with frameworks and tools such as LangChain, vector databases, PyTorch/TensorFlow is strongly preferred., • Familiarity with the agile process (stand ups, planning, estimating, and demoing), • Excellent written and verbal communication skills. Mandatory Skills : Python, AWS Lambda

We are seeking a highly analytical Quant Investment Strategist / Portfolio Management Associate to join a top performing Credit team of a $100B asset manager. In this role, you will be the primary engine behind the modeling and analytics that drive our portfolio construction and asset allocation. Working directly with the Senior Portfolio Manager (PM), you will leverage advanced quantitative techniques to build and optimize credit portfolios, with a heavy focus on Structured Products (CLOs, ABS, RMBS/CMBS) and Private Credit (Direct Lending, Specialty Finance). You will bridge the gap between complex data architecture and real-world investment execution. Key Responsibilities Portfolio Construction & Optimization • Develop and maintain sophisticated models for Asset Allocation across various credit sub-sectors., • Implement optimization frameworks (e.g., Mean-Variance, Black-Litterman, or Factor-based) tailored for illiquid and structured credit assets., • Build cash flow engines and valuation models for complex Structured Products., • Develop proprietary risk models to capture non-linear risks inherent in private credit and leveraged structures., • Partner directly with the PM to provide data-driven insights for investment committee memos., • Monitor market signals and spread movements to suggest tactical rebalancing opportunities., • Synthesize large datasets of loan-level data to identify structural trends in the private credit landscape. Required • Advanced Degree (Masters or PhD): Required in a STEM field (Mathematics, Physics, Financial Engineering, Computer Science, or Statistics)., • Experience: 3–7 years of professional experience in a quantitative research or portfolio management environment., • Domain Expertise: Demonstrated knowledge of Credit Markets. Experience with Structured Products (CLOs) or Private Credit is highly preferred., • Programming: Expert-level proficiency in Python (NumPy, Pandas, Scikit-learn) or R., • Database/SQL: Ability to manipulate and query large-scale financial datasets., • Optimization: Deep understanding of stochastic calculus, linear algebra, and optimization libraries., • Tools: Familiarity with credit analytical tools (e.g., Intex, Bloomberg, or Moody’s Analytics) is a plus.

Job Title: Program Manager – Data Analytics & Sales Operations Location: Strong Preference for onsite in New York, New York (Remote option available – EST time zone) Duration: 12 Months, potential extensions We are seeking a Program Manager III to join our client's Business Operations & Sales team. This role is ideal for a data-driven professional who thrives at the intersection of program management, analytics, and stakeholder engagement. You will be responsible for managing operational projects, delivering actionable insights, and enabling sales success through structured reporting and analysis. Must-Have Skills • Data analytics and reporting expertise, • Salesforce reporting proficiency, • Program management experience, • Stakeholder management, • Strong presentation and communication skills, • Google Suite & PowerPoint Nice-to-Have Skills • Tableau/Looker Studio experience, • SQL, R, Python knowledge, • General finance knowledge, • Retail industry familiarity Qualifications & Experience • Graduate/Post-graduate degree in a quantitative discipline (Mathematics, Business, Engineering, etc.)., • 4–5 years of experience in program management or sales operations within a large tech company OR 4–5 years of experience in strategy/management consulting at a leading consulting firm. Proficiency in: • Salesforce reporting, • SQL, • Google Suite (Sheets, Docs, Slides), • MS Office, • Strong stakeholder management and collaboration skills., • Excellent written and verbal communication skills., • Ability to deliver under tight timelines with high-quality outputs., • Knowledge of Finance, Tableau/Looker Studio, R/Python, or retail industry experience is a plus. Responsibilities • Lead and manage stakeholders across multiple projects from initiation to completion., • Research and share insights on industry trends, competitive landscapes, and business performance., • Identify, track, and model data around key business drivers., • Conduct forecasting analysis of inventory, revenue, store-level performance, and ROI impact of commercial incentives., • Solve complex challenges related to product performance and scale., • Create compelling visualizations of data and automate reporting to improve accessibility., • Package insights into structured presentations and documents for leadership and sales teams., • Provide actionable recommendations and detailed execution plans to cross-functional teams.

Top skills: SQL, Tableau, Python Schedule: Fully onsite Summary The main function of a business operations specialist is to maintain vendor relationships, acting as a business analyst for non-IT projects or filling organizational roles above an administrative level, but below a management level. Other responsibilities may include maintaining all project management processes, including project goals, deadlines, metrics and budget. The business operations specialist usually reports to a project manager or director. Job Responsibilities Review and approve contracts, cost proposals and contract supplements. Approve project and work breakdown structures. Review and approve the documentation of business processes. Approve project budgets and expenditures, monitor transaction controls and costs against budgets. Predict potential budget overruns and offer solutions. Consult with corporate offices, project managers, auditors, client and sub-consultant representatives regarding future proposals. Prepare sub-agreements and review and input sub-consultant invoices to ensure contact compliance. Skills Verbal and written communication skills, attention to detail, customer service and interpersonal skills. Strong ability to work independently and manage one's time. Strong knowledge of business and management principles involved in strategic planning, resource allocation, and production methods. Strong ability to apply accounting and mathematical principles to work as needed. Strong ability to analyze business trends and project future revenues and expenses. Previous experience with computer applications, such as Microsoft Word and Excel; Enterprise Application experience a plus. Education/Experience Bachelor's degree in business management, economics, finance, accounting or relevant field required. Key Responsibilites/Requirements 8-10 years experience required. Job Duties • Responsible for mining, developing and distributing data insights that will drive learnings and growth for the e-Commerce Operations Team., • Work closely with the Business Intelligence team to ensure data integrity, responsible for analyzing dashboards across Fulfillment, Returns, Operations, and NPS., • Develop customized Tableau dashboards as needed by Fulfillment Operations., • Identify Key Performance Indicators (KPIs), develop a holistic measurement plan, and historical benchmarking., • Analyze and develop insights for channel specific operations data using multiple data sources including Vertica, Tableau, Kibana, ecommerce business platform and other tools., • Responsible for various testing disciplines, including multivariate, A/B and user testing to validate hypotheses with data driven answers., • Utilize advanced knowledge of developing data driven insights to identify business growth opportunities., • Provide data-driven thought leadership to help the business identify areas to improve in terms of forward and reverse operations. Leverage predictive modeling techniques in the process., • Continually evolve analytics processes and tools; incorporate new sources of data to improve understanding Samsung digital business and operations., • Prepare reports and support stakeholders with deriving insights for WBRs (weekly business reviews)., • Proactively work with business units and teams to understand and translate data-driven initiatives and potential ideas. Synthesize ideas and suggestions from stakeholders and users to determine what to build based on business priorities, strategy and vision Qualifications • Bachelors degree in Engineering, Computer Science, Business, a related field, • 3+ years of hands-on experience in Data Analytics, specifically in Operations, • 3+ years of experience in data manipulation using SQL, • 3+ experience with design, execution, and measurement of A/B and multivariate tests, • Experience in an eCommerce and/or Digital Commerce environment, • Fluent in building reports and visualizations using Tableau (or similar BI tools), • Strong problem solving ability, • Excellent communication and data presentation skills Preferred Qualifications • MBA or Masters or in Analytics, Statistics, or other quantitative field, • 5+ years of experience with statistical analysis and predictive modeling using tools such as R, STATA, SAS, Python, etc. Traits/Behaviors/Abilities For Success • Succinct/proactive/confident communication data-driven insights (translating data into business speak) to all levels of the business stakeholders from operational to executive, • Experience working with cross functional teams to develop products and services. Ability to build interdepartmental relationships, • Desire to make a difference, engage customers, shape a strategy and build the right solution, • Exceptional critical reasoning, creative thinking and problem solving skills., • Familiarity with the identification and resolution of issues working with disparate sources of data and data quality issues, • Ability to dig into the fine details of projects but also articulate strategy and vision, • Familiarity with current data analytics technology and tools, and more importantly, you understand the point of it all - to produce solid insights to drive business decisions, • High level of intellectual curiosity, boldness, and honesty, and comfort level with ambiguity, • Ability to understand what we are building and why, i.e. you dont take requests and issues at face value and know how to truly get to the core of the problem and act as a problem solver vs. a data provider, • Self-starter mentality with the ability to deliver results under minimal supervision, • You keep up to speed on the latest happenings in the big data landscape and cant wait to pour through rich data sets to help make our products better, our users more informed, and our internal team more productive, • You constantly think about experimentation and want to help drive a cultural of continuous testing, • Focused on results and their implications (rather than methods/tools/process), • Comfort in reprioritizing items as situations evolve to maximize teams impact, • Ability to work with and influence partners from different cultures and working styles, • Most importantly, you enjoy being an integral part of a fast-paced, collaborative team; possess an innate entrepreneurial spirit to explore the uncharted

Job Description The Department of Genetics and the Institute for Aging Research at Albert Einstein College of Medicine invite applications for postdoctoral fellows to join a highly collaborative, multidisciplinary research program focused on the biology of healthy aging. The overarching goal of the group is to uncover biological mechanisms that promote longevity and resilience to age-related diseases, using both model organisms and deeply phenotyped human cohorts enriched for exceptional longevity. Einstein is internationally recognized for leadership in aging research and hosts major centers. These programs provide an outstanding intellectual and technical environment for postdoctoral training in aging biology and multi-omics research. Fellows will have access to extensive genomic, proteomic, metabolomic, and clinical datasets, as well as unique biospecimens from Einstein’s long-standing familial longevity studies. The research group is supported by multiple NIH-funded projects, including studies of comparative genomics of longevity and investigations into mechanisms of resilience to Alzheimer’s disease. The team is led by Drs. Zhengdong Zhang, Nir Barzilai, and Jan Vijg, and offers a rich collaborative environment that integrates computational, experimental, and clinical expertise. We seek highly motivated and creative postdoctoral fellows who can work independently while engaging in close collaboration across disciplines. The group has a strong track record of mentoring postdoctoral fellows toward independent careers, including successful applications for career development awards. The position offers opportunities for career development and to join a vibrant research community at the forefront of aging and longevity research. Additional information about the Department of Genetics is available at Information about the Institute for Aging Research can be found at Qualifications Applicants should hold a Ph.D. or equivalent degree in computational biology, statistical genetics, epidemiology, bioinformatics, or a closely related discipline. Strong programming skills in R, Python, MATLAB, or similar languages are required, along with a solid foundation in computational or statistical genetics. Experience analyzing large-scale datasets is essential, as the work will involve complex genomic and multi-omics data. Familiarity with machine learning methods and modern data science approaches is highly desirable. Successful candidates will demonstrate strong quantitative skills, the ability to work with complex biological data, and a clear interest in applying computational approaches to fundamental questions in aging biology and human health. Salary and benefits $65,000 or more depending on experience, with a comprehensive package of institutional benefits. Start date As soon as possible. How to apply Please send a CV and cover letter to Dr. Zhengdong Zhang at . The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Jersey City, NJ Contract to Hire Hybrid W2 Only · No 3rd Parties Role Overview Support the Cyber Data Operations team by monitoring the production batch stream cycle of CyberDW, diagnosing job failures, and escalating issues according to protocol. This role is responsible for creating playbooks and SOPs, coordinating with the Cyber Data team on production releases and active issues, and driving organizational efficiency through business process analysis and data-driven decision-making. Production Job Types Monitored ETL Jobs CDQ Jobs QA Jobs DLP Jobs Event Monitoring Jobs Key Responsibilities Production Monitoring • Monitor the production batch stream cycle of CyberDW on an ongoing basis., • Diagnose job failures across ETL, CDQ, QA, DLP, and event monitoring pipelines., • Create and maintain operational playbooks and standard operating procedures., • Document processes and decision trees for recurring production issues., • Coordinate with the Cyber Data team on production releases and active CyberDW issues., • Analyze business processes and identify operational improvement opportunities., • Support data-driven decision-making to enhance operational performance. Must-Have SQL Relational Databases Core Skills Batch Stream Monitoring ETL Job Management Incident Diagnosis & Escalation SOP / Playbook Authoring Business Process Analysis Process Mapping Data Interpretation Cross-Functional Collaboration Analytical Problem-Solving Project Management Tools Nice to Have Python Cyber / Security Domain DLP Operations Data Warehouse Support QA Job Monitoring Soft Skills Strong Attention to Detail Clear Communication Organizational Skills Business Context Awareness

We are partnering with a $60B+ AUM Credit fund in need of a CLO Portfolio Associate for their New York headquarters. This firm is known for its 25-year track record of outperformance in credit markets, our client is a titan in the credit universe. This role is a critical hire within their Structured Products team, offering direct exposure to senior Portfolio Managers and the Trading Desk. You will play a pivotal role in the optimization of both U.S. and European CLO portfolios, sitting at the intersection of quantitative analysis, market execution, and portfolio strategy. Key Responsibilities • Portfolio Optimization: Partner with PMs and the Trading Desk to construct and propose trade optimizations for US/EUR CLO portfolios to enhance relative value and improve structural metrics., • Performance Monitoring: Actively monitor collateral composition, coverage tests (OC/IC), and structural triggers. Run all hypothetical trades and synthesize results for senior leadership., • Collateral Analysis: Identify and analyze daily changes in collateral pools, including loan trading activity, rating migrations, and default/recovery scenarios., • Deal Lifecycle Management: Assist in new issue launches, warehouses, restructurings, and refinancing transactions. Track warehouse ramping progress for upcoming deals., • Stakeholder Liaison: Serve as the central point of contact between Trading, Legal, Middle Office, and Technology to ensure deal integrity, compliance with investment guidelines, and data accuracy., • Investor Relations: Support the IR team by responding to complex investor inquiries and producing detailed portfolio performance analytics., • Strategic Support: Monitor fund-level liquidity and proactively propose capital calls as necessary. Candidate Profile The Ideal Professional: You are likely currently working at a top-tier CLO manager, a rating agency, a Big 4 accounting firm, or a specialized valuation shop. You possess a "proactive" mindset and thrive in the high-pressure environment of a leading investment floor. Requirements: • Experience: 2–4 years of experience specifically within structured credit, CLO analytics, or leveraged loan analytics., • Knowledge Base: Deep understanding of CLO documentation, indenture tests, and structural waterfalls. Knowledge of underlying corporate credit ratings is strongly preferred., • Analytical Rigor: Strong quantitative skills with the ability to analyze portfolio-level metrics and collateral performance., • Software: Proficiency in Intex and Bloomberg is highly preferred., • Programming (Plus): Experience with Python, VBA, or SQL is a significant advantage for automating workflows and data analysis., • Bachelor’s degree in Finance, Economics, Mathematics, or a related quantitative field.

📍 Brooklyn, NY | Full-Time on-site Job Description Meridian is a trendy, forward-thinking furniture manufacturer, and one of the fastest-growing furniture brands in the US. We produce stylish & well made furniture that can be delivered right to your doorstep, all at an unbeatable price. We are dedicated to providing high-quality products and exceptional service. Overview We are seeking a detail-oriented and analytical Demand Planner to join our team. The ideal candidate will play a crucial role in forecasting demand, managing inventory levels, and ensuring that our supply chain operates efficiently. This position requires a strong understanding of supply chain principles, inventory management, and sales analysis to optimize product availability while minimizing excess stock. Responsibilities • Develop and maintain accurate demand forecasts using historical data and market trends., • Collaborate with cross-functional teams including sales, marketing, and operations to align on demand planning strategies., • Analyze sales data and inventory metrics to identify trends and opportunities for improvement., • Monitor inventory control processes to ensure optimal stock levels are maintained. Qualifications/Experience • High proficiency in Microsoft Excel, must have the ability to organize and manipulate data using formulas, pivot tables etc., • 3-5 years experience in wholesale products with key U.S. retailers., • Proven experience in demand planning or a related field within supply chain management., • Strong knowledge of inventory management principles and practices., • Familiarity with sales analysis techniques to inform forecasting decisions., • Excellent analytical skills with the ability to interpret complex data sets. Ideal candidate is highly proficient in Excel, SQL, Python, and Power BIJoin us in this exciting opportunity to contribute to our supply chain success as a Demand Planner. Your expertise will be essential in driving efficiency and ensuring customer satisfaction through effective demand management. Compensation pay range: $65-80k/year • Benefits:401(k), • 401(k) matching, • Dental insurance, • Employee discount, • Health insurance, • Life insurance, • Paid time off, • Retirement plan, • Vision insurance Experience:Demand planning: 5 years (Required) Additional Job Application TermsThis job is part of LinkedIn’s Full-Service Hiring beta program. Eligibility is limited to candidates located in and performing services in the United States, excluding those based in Alaska, Hawaii, Nevada, South Carolina, or West Virginia. We’re committed to making our hiring process as smooth and timely as possible, and we understand that waiting to hear back can add to the anticipation. If you’re a potential fit, our team will reach out within two weeks to progress you to the next stage. If you don’t hear from us in that time, we encourage you to explore other opportunities with our team in the future, and we wish you the very best in your job search.

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; we are looking for candidates with a strong background in Software Engineering or Computer Science for a Java/Software Developer position. Responsibilities: • ● Develop software and web applications using Java 8/J2EE/Java EE (and higher), React.js,Angular2+, SQL, Spring, HTML5, CSS, JavaScript and TypeScript among other tools;, • ● Write scalable, secure, maintainable code that powers our clients’ platforms;, • ● Create, deploy, and maintain automated system tests;, • ● Work with Testers to understand defects opened and resolves them in a timely manner;, • ● Support continuous improvement by investigating alternatives and technologies and, • presenting these for architectural review;, • ● Collaborate effectively with other team members to accomplish shared user story, • and sprint goals;, • Basic Qualifications:, • ● Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) an understanding of the software development life cycle;, • ● Basic programming skills using object-oriented programming (OOP) languages with in-depth knowledge of common APIs and data structures like Collections, Maps, lists, Sets etc., • ● Knowledge of relational databases (e.g. SQL Server, Oracle) basic SQL query language skills, • Preferred Qualifications:, • ● Master’s Degree in Computer Science (CS), • ● 0-1 year of practical experience in Java coding, • ● Experience using Spring, Maven and Angular frameworks, HTML, CSS, • ● Knowledge with other contemporary Java technologies (e.g. Weblogic, RabbitMQ,, • Tomcat, etc.) · Knowledge of JSP, J2EE, and JDBC, • ·, • Compensation: $65,000.00 to $80,000.00 /year, • BeaconFire is an e-verified company. Work visa sponsorship is available.

Overview The Global Credit Risk COO team is seeking a highly analytical, detail‑oriented, and motivated professional to support strategic initiatives across the Global Credit Risk organization. This role sits at the intersection of risk, data, governance, and business/technology strategy, providing broad exposure across the firm. THIS IS NOT A CREDIT OFFICER ROLE; instead, it focuses on the functions that enable and strengthen Credit Risk, such as data analytics, policy governance, business management, and cross‑functional project delivery. Candidates with strong capital markets experience can be trained in Credit Risk concepts. This position offers significant visibility, with materials frequently reviewed by senior leadership and used in regulatory submissions. Key Responsibilities 1. Risk Reporting & Management Analytics • Produce standardized and ad‑hoc analytics covering exposures, counterparties, concentrations, countries, issuers, and portfolios., • Interpret, distill, and present data insights for Senior Management, highlighting key trends and emerging risks., • Partner with Operations, Technology, and Analytics teams to ensure data completeness, accuracy, and timely delivery., • Support data investigations, source-to-target analysis, and metric validation. 2. Policy, Governance & Audit Support • Own and maintain Credit Risk policies, procedures, standards, and control documentation., • Support rating model governance, including documentation, validation processes, and periodic reviews., • Coordinate Credit Committee processes and assist with minutes and supporting materials., • Manage the global credit review calendar and ensure timely execution., • Prepare materials for internal Audit, external regulators, and senior executives., • Ensure compliance with internal governance frameworks and operational risk standards. 3. Business Analysis, Project Management & Process Enhancement • Lead or support global technology and workflow initiatives (system migrations, workflow tool enhancements, process automation)., • Capture business requirements and develop well‑structured Business Requirements Documents (BRDs)., • Create and maintain current and future‑state process maps, technical workflow diagrams, and procedural documentation (MS Visio)., • Perform UAT, coordinate testing cycles, and partner with Technology to resolve issues across QA and production environments., • Assist in project planning, presentations, status reporting, and milestone tracking., • Identify process inefficiencies and recommend improvements across data, workflow, and governance functions., • Act as a key liaison between Credit Risk, Technology, Operations, and other partner teams. 4. Business Management • Support departmental planning, reporting, resourcing, and operational oversight activities., • Partner with senior leadership on cross‑departmental initiatives, including regulatory deliverables and strategic COO priorities., • Contribute to management presentations, business updates, and organizational communications. Qualifications • 3+ years of experience in Counterparty Credit Risk, capital markets, risk management, COO/business management, or related financial services roles., • Bachelor’s degree required; Master’s preferred., • Strong understanding of capital markets (Fixed Income, FX, Equities, Securities Financing); knowledge of Credit Risk can be developed on the job., • Proven ability to analyze, manipulate, and summarize large and complex datasets., • Excellent organizational and documentation skills; able to manage multiple assignments with tight deadlines., • Strong written and verbal communication skills with experience engaging senior stakeholders., • Advanced proficiency in Excel, PowerPoint, and Visio., • Programming experience in VBA or Python is a strong plus., • Experience with business analysis, requirements gathering, or project management is preferred., • Ability to quickly learn new systems, processes, and risk concepts. New York, NY Full Time Salary Range of $110.000-130,000. About Us Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law. The salary offered will take into consideration an individual’s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.

Job title: Machine Learning Scientist (Quantitative Strategies) Salary: Up to $500,000 starting base + industry-leading guaranteed bonus and package. Location: New York - Hybrid (Up to 3days onsite per week). Client: • Globally leading quantitative investment manager and an early pioneer of systematic strategies in the 1990s., • Scientific and data-driven fund who have been at the forefront of computational finance for the last four decades., • Multi-disciplinary team of STEM-subject matter experts who deploy a collaborative approach to developing and executing quantitative and fundamental trading strategies across an array of asset classes and investment products. Role: • Following stellar performance in financial markets last year, this firm are scaling their quantitative research and trading capabilities in New York., • Given longstanding investments in ML, they’re in the process of developing and deploying the firm’s first suite of ML-driven strategies., • Seeking to apply a multitude of novel ML methodologies from LLMs, DNNs, CV to more traditional frameworks in Statistical ML to an array of complex and noisy data., • Role entails holistically contributing to the research lifecycle including alpha signal generation, understanding risk and maximizing profitability of quantitative trading strategies. Required skills: • Advanced degree in STEM or another highly quantitative discipline., • Proficient knowledge of novel areas of ML including but not limited to GenAI, LLMs, DNNs, CV, Agentic AI and more traditional forms like Statistical ML., • Capable across topics in algorithms, data structures, probability and statistical analysis., • Extensive experience of dealing with noisy data challenges., • Proficiency in either Python or C++. Desirables: • Strong ML-related publications in top conferences or peer-reviewed journals including ICML, NeurIPS, AISTATS and CVPR., • Best Paper Awards or Impact accreditations across ML., • Direct experience of translating mathematical models to production-level code. If this opportunity is of interest, please apply direct or email me at .

Job Title: Senior Platform Engineer: Location: New York, NY ( Hybrid) Type: Full Time Salary: $185000 - $195000+ Equity( $65K)+ Bonus (10%) The Opportunity Our Tech client building the infrastructure backbone for the next generation of AI-powered advertising verification that processes billions of impressions daily from the world's largest social media platforms. As a SeniorPlatform Engineer on their US Hub team in NYC, you'll be at the intersection of platform engineering and artificial intelligence, pioneering what doesn't exist yet. You'll own critical platforms, architect novel solutions for AI agent deployment (LangChain, ADK), and work across multiple engineering teams to define standards that impact hundreds of developers. If you want to build the future rather than just maintain the present, this is your opportunity. What You'll Achieve Pioneer AI Infrastructure • Design and build the foundational infrastructure for deploying AI agents at scale, working with emerging technologies like LangChain and Agent Development Kit to create capabilities that don't yet exist in the market, • Partner directly with AI/ML teams to enable rapid deployment of agentic solutions, turning research into production systemsOwn Critical Platforms, • Architect, deploy, and operate our Kubernetes platform across cloud (GCP/AWS) and data center environments, ensuring 99.9%+ uptime for systems processing billions of daily transactions, • Build the tooling and automation that makes complex systems simple for 100+ developersElevate Engineering Excellence, • Create operators, microservices, and management tools that shape how engineers across DV interact with infrastructure, • Drive CI/CD evolution, building self-service capabilities that empower teams while maintaining security and reliabilityShape Technical Standards, • Influence product design from the ground up, ensuring new features integrate seamlessly with DV's infrastructure, • Work across multidisciplinary DevOps teams to establish patterns that scale across the organizationWhat You'll BringRequired:, • 5+ years in DevOps/Platform Engineering roles with significant software development (we need engineers who write code, not just YAML), • 3+ years owning and operating production Kubernetes platforms (cloud or on-prem), • Strong programming skills in at least one of: Python, Go, or TypeScript - you should be comfortable building microservices and automation tooling, • Cloud platform expertise in GCP or AWS (multi-cloud experience is a plus), • Observability mindset - you naturally think about metrics, logging, tracing, and use data to drive decisions, • Builder mentality - you're energized by creating systems that encourage automation, observability, and ease of maintenanceNice to Have:, • Experience developing AI workloads using frameworks like LangChain, CrewAI, or Google Agent Development Kit, • Background in site reliability engineering (SRE) practices, • Contributions to open-source DevOps tooling, • Cloud: GCP (primary), AWS, Oracle Cloud (emerging), • Orchestration: Kubernetes (GKE, Rancher), ArgoCD, Helm, • AI/ML: LangChain, OpenAI Agents SDK, Google ADK, n8n, • Observability: Prometheus, Grafana, Datadog, • CI/CD: GitLab CI/CD, GitHub Actions, • IaC: Terraform, Ansible, • Languages: Python, Go, Bash, TypeScript Estimated Min Rate: $129500.00 Estimated Max Rate: $195000.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice:

Job Title: Model Risk Management (MRM) Tech Analyst Location: New York, NY Duration: 6 months Role Overview: We are seeking an MRM Technical Analyst with strong experience in Model Risk Management, model lifecycle workflows, and hands on analysis of model code and data. The candidate will work closely with business stakeholders to refine requirements, write user stories, and support model governance activities. Key Responsibilities: • Work with business users to refine user stories and translate regulatory requirements into technical specifications., • Review and interpret model code written in Python and SQL., • Support MRM processes, model inventory, validation workflows, and governance controls., • Partner with engineering teams to ensure proper implementation of model lifecycle enhancements., • Support testing, documentation, and cross functional communication. Required Skills: • Strong Business Analyst background with MRM experience., • Hands on proficiency in Python and SQL., • Excellent communication and stakeholder management skills.

Location: Remote Type: Part-time contract role Compensation: $30–$50/hourly, depending on experience and scope. Reports to: Senior Research Team / CEO About Strategy Risks Strategy Risks is a China-focused business intelligence firm providing geopolitical, political, and strategic risk analysis to senior decision-makers across finance, corporates, and government. We help clients anticipate and navigate complex global risks through rigorous research, clear analysis, and actionable insight. The Role We are seeking a part-time researcher to support ongoing research projects and client-facing deliverables across geopolitical, political, and strategic risk themes. This role is ideal for someone with strong analytical instincts, excellent writing skills, and a deep interest in China, global affairs, and emerging risk issues. The researcher will contribute to both recurring and project-based work, helping produce high-quality analysis for clients operating in complex environments. Key Responsibilities • Conduct research across geopolitical, political, economic, and strategic risk topics, • Support drafting of reports, briefings, memos, and other client deliverables, • Assist with open-source analysis, background research, and source validation, • Contribute to recurring research products and ad hoc client requests, • Support preparation for client briefings, presentations, and research calls, • Monitor developments related to China, supply chains, regulation, and broader geopolitical trends Required Experience & Qualifications • Experience in political risk, media, geopolitics, intelligence, academia, or strategic analysis, • Strong research and writing skills, with the ability to communicate clearly to non-technical audiences, • Familiarity with China-related issues, global markets, or international affairs, • Ability to work independently, meet deadlines, and manage multiple assignments, • Comfort working in a fast-paced, entrepreneurial environment, • Chinese fluency a plus, but not required, • Python/PowerBI, Canva, CRM tools a plus, but not required What We Offer • Flexible part-time arrangement, • Opportunity to contribute to meaningful, real-world strategic work, • Exposure to high-level client questions and global risk issues, • Collaborative work with an experienced and mission-driven team, • Compensation commensurate with experience and scope of work How to Apply Please submit a resume and brief note of interest outlining relevant experience and availability to . Writing samples may be requested.

Do you want to help design the next generation of materials used for batteries, space exploration or water purification? Are you interested in getting a PhD? A position is available in Prof. Jacob Gissinger's group at Stevens Institute of Technology (nanocipher.org), for Fall 2026. The research will involve computational design of polymeric systems, such as polymer electrolytes, or high-performance polymers and composites for use in extreme environments. Prerequisites Applicant must not have a PhD. Applicant must hold a bachelor's degree before Fall 2026. American citizenship required for some projects. Why Stevens? We are a research-intensive university in a prime location. Quiet Hoboken is a 10-minute subway ride from downtown Manhattan. Responsibilities Be excited to do research. Be curious. Be willing to learn. Qualifications • Bachelor's degree in materials science, chemical engineering or related fields, • Programming skills in languages such as Python, • Ability to work in an interdisciplinary and collaborative environment, • Excellent written and verbal communication skills, • Background in computational materials science, machine learning and polymer engineering preferred Please direct any questions to Prof. Gissinger at . For more information about the group, visit nanocipher.org.

Role: Python Software Engineer Location: Rockville, MD/ Woodbridge, NJ/Jersey City, NJ (Locals only) Candidates must be local to Rockville, MD area, Woodbridge, NJ area, or Jersey City, NJ areas. Job Description: Key Responsibilities · Design, develop, and maintain robust, scalable applications using Python and modern frameworks · Architect and implement microservices-based solutions with RESTful APIs following best practices and system design principles · Integrate GenAI/LLM capabilities into enterprise applications to deliver innovative solutions · Collaborate with cross-functional teams including product managers, designers, and stakeholders to define project requirements and technical specifications · Lead code reviews, mentor junior developers, and promote engineering excellence across the team · Optimize application performance and ensure seamless integration with both relational and non-relational databases · Implement and maintain CI/CD pipelines to support continuous delivery and deployment · Troubleshoot complex technical issues with precision and provide effective solutions · Contribute to technical documentation and knowledge sharing initiatives Required Qualifications · 5+ to 15 years of professional software development experience with significant focus in Python · Expert-level proficiency in Python frameworks including Django, Flask, and FastAPI · Strong understanding of microservices architecture, RESTful APIs, and system design principles · Hands-on experience with data engineering and analysis libraries (NumPy, Pandas) · Proficiency in both relational (SQL) and non-relational (NoSQL) databases · Familiarity with front-end technologies such as Angular and Node.js · AI/ML Capabilities · 2+ years of hands-on experience with GenAI/LLM integrations and implementations · Solid experience with version control using Git · Proficiency with containerization technologies, particularly Docker · Proven experience designing and implementing CI/CD pipelines · Professional Competencies · Exceptional problem-solving skills with keen attention to detail · Strong analytical thinking and ability to identify and resolve complex technical challenges · Excellent verbal and written communication skills · Proven ability to work collaboratively with cross-functional teams and stakeholders · Self-motivated with ability to manage multiple priorities and deliver results in a fast-paced environment

Position: Data Quality Analyst / Claims Service Correspondent Location: New York, NY 10004 (Hybrid) Job Type: Contract Contract: ~8 weeks with potential extension Schedule: Monday – Friday | 9:00 AM – 5:00 PM Guaranteed hours per week: 35.00 Pay: Up to $65/hour Job Summary Pride Health is seeking a skilled Data Quality Analyst / Claims Service Correspondent for a contract opportunity in New York, NY. This role focuses on data validation, claims inquiry resolution, and quality assurance, supporting healthcare operations and ensuring accurate claims processing and data integrity. Responsibilities • Respond to provider claim inquiries and ensure timely resolution, • Review, validate, and maintain accuracy of healthcare data, • Perform claims adjustments for overpayments and underpayments, • Collaborate with internal teams (Provider Relations, Medical Management, Claims), • Maintain accurate documentation and data entry in IMAX systems, • Analyze datasets to identify discrepancies and improve data quality, • Support quality control processes for data reporting and analytics, • Track and manage inquiry resolution workflows, • Assist with audits, reporting, and process improvements, • Communicate effectively with providers and internal stakeholders Requirements • Strong experience in claims processing and healthcare operations, • Knowledge of MetroPlus claims guidelines and benefit structures, • Experience with IMAX and TXEN systems, • Proficiency in Excel and data analysis tools, • Strong analytical, problem-solving, and communication skills, • Ability to manage high-volume inquiries and meet deadlines Preferred Qualifications • Experience with SQL, Python, or R, • Background in data quality, analytics, or reporting, • Strong customer service and issue resolution skills, • Ability to work independently and handle complex workflows Why Work with Pride Health? Pride Health offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k) retirement savings, life & disability insurance, an employee assistance program, legal support, auto and home insurance, pet insurance, and employee discounts with preferred vendors.

Job Title: Senior AWS Connect Solutions Architect & Lead Developer Location: NY/NJ/CT Onsite -Hybrid/Remote Term: Contract Experience: 5–7 Years experience in Amazon Connect CX Transformation We are seeking a hands-on AWS Connect Architect to lead the technical migration of a large healthcare payer for chat and voice services migrating from Genesys/ LivePerson to Amazon Connect. This is a role requiring a candidate who can define high-level architecture, advise on migration best practices, provide innovative solutions and roll up their sleeves to build complex contact flows and integrations. Key Responsibilities • Architectural Leadership: Design and document the end-to-end migration strategy from to a unified AWS Connect environment for both Voice and Chat., • Requirements Engineering: Lead discovery sessions to translate legacy "must-have" features and identified "gaps" into AWS-native functional requirements, with a specific focus on Digital Chat workflows., • Hands-on Development: Build and optimize complex Contact Flows, Lex Bots (V2), and Lambda-based integrations to ensure a seamless member experience., • Migration Advisory: Serve as the Subject Matter Expert (SME) on CCaaS migration best practices, including cutover strategies, feature mapping, agent desktop integrations and AI desktop interventions ., • Stakeholder Engagement: Act as the primary technical point of contact for various stakeholders and partner vendors, ensuring the solution aligns with Healthcare compliance (HIPAA), compliance and other value-based care objectives., • Chat Specialization: Define the requirements for persistent chat, asynchronous messaging, chat to contextual agent handoffs within the AWS ecosystem. Required Skills & Qualifications • Experience: 5–7 years of professional experience in Contact Center technology, with at least 3 years of deep, hands-on experience specifically with Amazon Routing, Connect flows, Lex Bot development, Agent Assist features. Agent desktop integrations, • Migration Expertise: Proven track record of migrating large-scale enterprises from other CCaaS systems to AWS Connect. Technical Stack: • Expertise in AWS Connect Contact Flows, Lambda (Python or Node.js), and Amazon Lex., • Strong understanding of AWS ecosystem services: DynamoDB, Kinesis, S3, and CloudWatch., • Familiarity with CRM integrations (Salesforce Health Cloud or similar)., • Knowledge also on Genesys / LivePerson Chat is preferred Domain Knowledge: Previous experience in U.S. Healthcare (Provider/Payer) is highly preferred, including understanding HIPAA mandates and care coordination workflows. Soft Skills: Ability to consult with business leaders to gather requirements and then immediately translate those into technical execution.

Role Scope and Responsibilities Data Foundations and Metrics • Partner with technical and data stakeholders to help define and maintain a scalable workforce data model, • Translate business questions into clear, consistent workforce metrics and reporting logic, • Establish and document metric definitions and data standards to ensure long-term consistency and accuracy, • Validate workforce data across systems to ensure integrity and reliability Governance and Alignment • Define and maintain core workforce metrics including headcount, attrition, hiring, and forecasting, • Support the development of governance practices across HR and people-related systems, • Drive alignment on workforce reporting across People, Finance, and senior leadership Analytics and Reporting • Design and deliver dashboards and reporting for headcount, hiring, and workforce planning, • Support workforce forecasting in partnership with Finance and business leaders, • Provide actionable insights that inform talent decisions and operational planning, • Ensure reporting is clear, intuitive, and executive-ready, with a strong emphasis on data visualization best practices Qualifications Experience • Approximately 6 to 10 years of experience in People Analytics, HR Analytics, or Workforce Analytics, • Proven experience building or significantly evolving workforce reporting and analytics frameworks, • Experience partnering with Finance, Engineering, or Data teams, • Background in financial services, fintech, or technology environments preferred, though not required Technical and Analytical Skills • Strong proficiency in SQL, • Experience with data visualization platforms such as Tableau, Power BI, Looker, or similar tools, • Familiarity with workforce-related systems including HRIS and ATS platforms, • Exposure to tools such as DAX, Python, or Alteryx is highly valued, • Experience working with UKG is a plus but not a requirement Core Competencies • Ability to translate complex business questions into structured analytical solutions, • Strong written and verbal communication skills with experience presenting to senior stakeholders, • Systems-oriented thinker who anticipates scale, governance, and future reporting needs, • Comfortable operating independently and prioritizing work in a fast-paced environment

Company Description A stealth-stage legal technology company applying AI to plaintiff-side litigation at institutional scale, with eyes toward reinventing how law is practiced end-to-end. We operate at the intersection of special situations litigation and litigation finance — building infrastructure that doesn’t yet exist in the legal industry. We raised a seed round that was 75% oversubscribed in February 2026, and we’re building the team that will define how this company grows. Come join us! Role Description We’re hiring the next person on the core engineering team. You’ll work across the full stack — backend-first, owning architecture end-to-end — with taste for elegant, intuitive UX/UI while collaborating closely with a product-leaning counterpart. You’ll design systems around AI, not just use it: LLM orchestration, agentic workflows, MCP integrations, and infrastructure that treats AI as a first-class layer of the product. The domain is regulated and high-precision. Prior exposure to legal tech, compliance-adjacent data pipelines, or enterprise SaaS where a wrong output has real consequences is a strong signal. What We're Looking For You have software engineering depth with a backend-first instinct. You’ve shipped production-grade systems you’d stand behind today, and you’re comfortable owning complex platforms end-to-end. You’re AI-native. You design systems with and for AI — not around it. You’ve built with LLMs in production, not as a feature but as infrastructure. You communicate precisely, flag blockers early, and ship in fast-moving environments. You take ownership without waiting for permission and bring strong opinions held loosely. You’ve worked in a domain where precision matters — legal, compliance, healthcare, fintech — and you understand what it means to be wrong in a regulated context. Qualifications/Tech Stack Frontend: Next.js 16, React 19, TypeScript 5.9, Tailwind CSS 4, shadcn/ui, Radix UI, Recharts, MapLibre GL, Framer Motion, Lucide React AI: Anthropic Claude API (SDK), Server-Sent Events streaming, custom agentic tool system, dynamic skill loading from S3 Backend: Next.js API routes, Auth.js (NextAuth v5), Drizzle ORM, PostgreSQL, DuckDB, S3-backed Parquet files Data Pipeline: Python 3.13, Hive-partitioned Parquet on S3, DuckDB analytical engine Logistics • Remote, but candidate must be in NYC or Miami, FL areas., • Fluent in English and Spanish, • Monthly in-person summits (3 nights) rotating between Miami, NYC, and DC sidered. • Competitive Salary and Equity plus Health Benefits

About: Karbone Research is now Noreva. Noreva is a rapidly growing energy analytics company building the next generation of intelligence for power, fuels, capacity, and environmental markets. We provide institutional-grade data, forecasting, and market insights that help utilities, developers, traders, investors, and industrial participants navigate increasingly interconnected energy and decarbonization markets. About the Role: As part of the continued expansion of our Research team, Noreva is hiring a Natural Gas Markets Analyst to support and advance our fuels research and analytics capabilities. We are looking for a market practitioner who combines a strong fundamental understanding of natural gas markets with the technical ability to build and enhance analytical tools and models. This role is highly entrepreneurial, featuring extensive interaction with clients and market participants and offering opportunities for team leadership. Responsibilities: • Build the Coverage: Develop and evolve Noreva’s natural gas market coverage by building fundamental models spanning supply-demand balances, storage dynamics, price drivers, and scenario analysis., • Decode Market Flows: Analyze regional basis dynamics, LNG exports, pipeline constraints, and power sector demand to understand what is driving the U.S. gas market day-to-day., • Deliver Actionable Insight: Produce recurring market reports, price outlooks, and thematic research that help investors and market participants navigate evolving gas markets., • Advise Sophisticated Clients: Partner directly with investors, developers, and traders on bespoke engagements including market sizing, asset-level analysis, diligence, and long-term market outlooks., • Help Build the Platform: Contribute to the growth of Noreva’s data platform through model automation, new datasets, and the development of next-generation research products., • Stay Ahead of the Market: Track regulatory, policy, infrastructure, and macro developments shaping natural gas and adjacent markets, including LNG, power, and renewables. Qualifications: • 2-5+ years of experience analyzing North American natural gas markets, including demonstrated understanding of supply, demand, storage dynamics, pipeline dynamics, and regional price formation, • Proven ability to translate market fundamentals into quantitative analysis or forecasting frameworks as well as qualitative research, • Advanced Excel skills and Python proficiency required, • Strong data intuition: experience working with large market datasets, time series data, or API-driven data pipelines is highly valued, • Comfortable operating in a fast-growing, build-oriented environment where processes and products are actively evolving What We Offer: • A collaborative, intellectually stimulating, and entrepreneurial culture, • Ownership over product buildout, the chance to make an impact immediately, and grow with the company, • Deep experience in the energy & commodities markets with unparalleled learning opportunities., • A competitive salary package, including comprehensive benefits, retirement savings plan, and bonus eligibility

🚀 Agentic AI Engineer🚀 ✨Series A Fintech Start-Up ✨ 💎Equity you WILL realise💎 📍 Manhattan, New York 💸 $200k - $300k depending on level 🧩 $160k equity vested over 4 years 🚨 This is a career-defining role 🚨 This role sits inside one of the fastest-growing Series A Fintech start-ups, building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a record-breaking Series A at the end of last year, and is now focused on building an elite engineering team to own the core AI infrastructure end-to-end. 💪 The Environment • Exceptional, high-performing teams, • Engineers work directly with founders daily, • No layers, no slow approvals, no hand-offs The intensity is deliberate. The aim is compression: • Faster learning curves, • Faster iteration cycles, • Faster ownership and decision-making 🧩 What You’ll Actually Be Building You will own and drive large portions of the AI agent infrastructure, from design through to production deployment. • Designing and deploying multi-agent systems, • Building and integrating RAG pipelines, • Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety, • Shipping AI-powered features used by real enterprise customers, • Building backend services and APIs (Python, Django / FastAPI preferred), • Working across the stack — APIs, databases, infrastructure, and deployment pipelines, • Ensuring systems are scalable, performant, and secure in production 🧠 Who This Is For You’ll likely have: • Foundational software engineering experience, • Hands-on experience designing and deploying AI systems into production, end-to-end, • Strong backend engineering skills (Python), • Experience with relational databases, Redis, task queues, and background workers, • Familiarity with Docker, Kubernetes, and modern cloud infrastructure, • Experience with RAG, agent orchestration, and LLM evaluation techniques, • A high tolerance for ambiguity and shifting priorities 🏆 Why Exceptional People Say Yes Top engineers don’t optimise for comfort — they optimise for trajectory. • Talent density permanently raises their bar, • Founder access is direct and unfiltered, • One year of learning feels like several elsewhere, • The experience compounds long after they leave Then this is one of the most compelling Applied AI Engineering opportunities globally right now. #AIjobs #AIhiring #startup

Description Building an institutional trading firm and liquidity provider for prediction markets. You will work alongside our CEO and Head of Quantitative Research. Only apply if you're based in New York, NY. Responsibilities The Software Engineer will lead the build out of production grade trading infrastructure, including; • Build trading infrastructure from real-time data ingestion through execution and risk management., • Build exchange integrations for ingesting order books, trades, and market data across multiple venues., • Build real-time data pipelines to integrate sports and other event data from major U.S. sports leagues., • Productionize quantitative models for event-driven markets with continuously changing game states. Qualifications • Experience building real-time data pipelines, exchange APIs, and financial infrastructure, • Strong proficiency in Python; experience with C++, Rust, Java, or similar languages is ideal, • Experience with sports data and analytics is preferred, but not required, • Bachelor’s, Master’s, or PhD degree in computer science or related fields