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The Opportunity MassMutual is seeking a Quantitative Consultant to join our Product Modeling team within the Annuity Product Department. In this role, you will collaborate with cross-functional teams to define product calculation requirements for new and existing products, and develop Excel-based models to support and validate those requirements, ensuring accurate and reliable values for our MassMutual customers. You will also support existing products during administration system conversions between administrative systems, maintaining data integrity and process continuity. Additionally, you will provide defect analysis and resolution to address system or calculation issues efficiently. The Team Our team blends advanced Excel modeling, annuity product expertise, actuarial knowledge, and strong communication and problem-solving skills. We prioritize critical thinking and process efficiency to stay focused on core responsibilities. By streamlining workflows and anticipating challenges we accelerate speed to market and resolve customer issues quickly. Through effective system solutions and empathetic solution-oriented communication we enhance customer experience and ensure timely delivery. The Impact: In this role, you will drive efficiency, collaboration, and innovation to improve speed to market and deliver exceptional customer outcomes. Key responsibilities include: * Own the development of models and requirements to ensure MassMutual customers receive accurate values from our systems and operational processes. * Take accountability for deliverables, working collaboratively with team members to complete tasks accurately and on time while following established coding structures and standards for Excel model development. * Plan and communicate effectively when multiple team members are working in the same excel model, ensuring coordination to avoid conflicts and maintain model integrity. * Communicate clearly with business partners, translating technical and non-technical information clearly and keeping stakeholders informed of status and deliverables. * Apply actuarial and statistical methods, leveraging tools and peers to when needed to enhance everyday work * Reduce costs through process improvements, automation, and strategic handoffs to business partners. * Navigate complexity and ambiguity. exploring multiple solutions while balancing the needs of the customer, actuarial functions, product, systems, operations, the field, legal, and compliance. The Minimum Qualifications * BA or BS with a quantitative focus (e.g., Mathematics, Actuarial, Finance, Economics or related major) * 5+ years of relevant work experience in insurance or financial services industry. * 1+ years of Excel experience, including formulas (e.g., XLOOKUP), data validation. The Ideal Qualifications * Completion of 1 or more actuarial exams * In-depth knowledge of MassMutual annuity products * Excel VBA * Experience writing SQL queries * Ability to optimize workflows for large data sets through advanced Excel techniques, macros or integration with other tools. * Experience supporting requirements and business testing for administrative system conversions. * Ability to take ownership of deliverables and collaborate effectively within a team environment. * General knowledge of annuity or related financial services industry products and practices. * Ability to work at both strategic and tactical levels, and switch between them as needed. * Strong business acumen, analytical, problem-solving, decision-making, and presentation skills. What to Expect as Part of MassMutual and the Team * Regular meetings with the Product Modeling Team * Focused one-on-one meetings with your manager * Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a strong and stable ethical nosiness with industry leading pay and benefits #LI-ST1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our ___ page.

The Opportunity This is an exciting opportunity for a highly motivated and collaborative risk professional with strong quantitative and development expertise to join the Credit Risk Management team within the Capital and Investment Risk Management team and the broader Enterprise Risk Management division. As a quantitative risk developer within the Capital & Investment Risk Management team, you will be responsible for leading quantitative model implementation, development, and analysis. The ideal candidate will join a quant team to enhance Enterprise Risk Management (ERM)’s analytical and reporting capabilities, by expanding the use of existing models as well as designing and developing new tools and risk frameworks. You will work with capital, credit, market and portfolio risk teams, and ERM more broadly. This is an excellent opportunity to collaborate with risk, investment and finance, and enterprise technology (including data science) teams. The Team The Capital & Investment Risk team brings together a diverse team of experts across capital markets, risk management, actuarial, and quantitative disciplines that works together to deliver analysis and recommendations related to the management of credit, market, liquidity and capital risk, consistent with the enterprise risk appetite framework for which the team is also responsible. The team continues to be successful in driving improvements in tools, technology and processes, for more consistent risk analysis and reporting, and enabling greater opportunities for scale and efficiency within ERM and with stakeholders in Investment Management and Finance. The Impact * In this role, you will play a critical part in ensuring company’s credit risks are effectively identified, measured and mitigated, by bringing your deep analytical expertise and strong understanding of credit risk/ investment risk modeling, data and infrastructure. * Your work will help shape robust, data-driven decision-making across risk and investment areas and influence MassMutual’s evolving business strategy and operating environment. * You will partner with your peers in driving improvements in tools, technology and processes, for more consistent risk analysis and reporting, and enabling greater opportunities for scale and efficiency within ERM and with stakeholders in Investment Management and Finance. * There is a strong emphasis on innovation, with growing opportunity to apply AI-driven techniques and scalable data solutions to drive more forward-looking, efficient risk analytics that embrace emerging technologies. * The key to success in this role is a sharp analytical mindset, the ability to translate complex risk metrics into actionable insights, and a strong partnership approach with stakeholders across risk, investment management, finance, and technology. Notable responsibilities include: * Implement, develop and enhance ERM’s analytical capabilities related to credit/market risk across a wide range of fixed income asset classes * Building on MassMutual’s current approach, assist in developing and syndicating a comprehensive framework for measuring portfolio credit & market risk, that considers different accounting and capital regimes, including asset and liability impacts, with a particular emphasis on economic capital * Automate and expand the use of Moody’s credit risk tools in place today and build risk- reward framework * Use of Python/ SQL. Also, use of spreadsheets and VBA to prototype and analyze data including data investigation/cleanup * Strengthen ERM’s use and development of tools and analytics to support derivatives counterparty risk, portfolio concentration risk & stress testing capabilities * Mentor junior quantitative analysts * Scope and implement modeling, including building out requirements where not yet fully defined or understood. * The right candidate will be agile, accountable and resilient in driving initiatives and the results The Minimum Qualifications * Bachelors degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering or similar quantitative discipline * Minimum 8 years of relevant work experience with 5 years in investment (credit/market) quantitative risk analytics OR 5 years of relevant work experience in investment (credit/ market) quantitative risk analytics combined with graduate studies * 5+ years of experience with expertise in Python, SQL and development skills in object-oriented programing * 5+ years of experience with strong quantitative model development & implementation skills and ability to validate/understand and explain analytical results * 5+ years of experience in quantitative risk modeling across a wide range of asset classes * 3+ years of experience with ability to engage with operational work in production environment with IT developers/solution architects in maintaining infrastructure * 5+ years of experience with quantitative and programming skills in a hands-on setting to deliver new functionality The Ideal Qualifications * 7+ years of relevant work experience in investment (credit/market) quantitative risk analytics is desirable * Advanced degree in Computer Science, Financial Engineering, Mathematics, Physics, Engineering or similar quantitative discipline is preferred * Knowledge and experience working with derivatives and hedging risk management * Experience in using Moody’s Analytics credit risk tools is desirable. * Experience in CECL compliant portfolio credit models * Experience applying machine learning techniques in the financial industry is desirable * Software development using GitHub and Docker, adhering to enterprise standards and best practices ensuring models are validated and governed * Previous experience working on liability-driven investing projects within an insurance company is desirable What to Expect as Part of MassMutual and the Team * Regular meetings with the Quantitative teams within ERM, Investment management & ETX project teams * Focused one-on-one meetings with your manager * Networking opportunities including access to Asian, Hispanic/ Latinx, African American, women, LGBTQ, Veteran and disability-focused Business Resource Groups * Access to learning content on Degreed and other informational platforms * Your ethics and integrity will be valued by a company with a string and stable ethical business with industry leading pay and benefits #LI-ST1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our ___ page.

Underwriting & Portfolio Management Associate Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Associate, Underwriting & Portfolio Management manages a portfolio of loan relationships, and routinely monitors them for risks inherent in a loan portfolio. The incumbent provides support to the manager of the department on continuous improvement initiatives and take the lead on projects that support loan growth and efficiency objectives within lines of business. The Associate, Underwriting & Portfolio Management helps deliver an industry-leading experience for both internal and external customers and acts as a subject matter expert. Responsibilities • Provide financial analysis on large corporate clients with a focus on credit., • Underwrite credits, spread financials, perform projections unsupervised with deep understanding of the client, • Participates in deal diligence process including identifying all key risks., • Reviews relevant deal documents / information provided in data room, by Company / Sponsor, and third party reports., • Oversees internal approval process including ensuring accurate and timely completion of internal approval write-ups and leading deal merit discussion on internal approval calls. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • At least 3+ years of experience in credit underwriting with solid experience in spreading financials under GAAP and IFRS accounting, understanding the concepts of EBITDA add-backs and ability to perform projections unsupervised with deep understanding of the client., • Experience with financial analysis of large corporate clients with a focus on credit ., • Bachelor's Degree or equivalent work experience: Finance, Accounting, Management, Economics or equivalent field. - Required., • 3+ Years Financial analysis, structuring, underwriting and portfolio management. - Required., • 3+ Years Experience with underwriting loan transactions - Required., • Superior written and verbal communication skills., • Strong analytical skills and proficiency navigating and understanding financial statements., • Ability to work in a fast paced environment with little supervision., • Ability to work well with others and on teams., • Proficient in Microsoft Office, including Word, Excel and PowerPoint., • Skilled in proposing and negotiating and recommending credit and covenant structures., • Comfortable in customer contact situations including escalations and potential work-out/loan restructure environments., • Ability to foster strong partnerships with the related documentation and underwriting units., • Demonstrated practical and conceptual knowledge of credit and risk analysis., • Demonstrated knowledge in financial modeling and able to structure credit in modeling environment. Able to assist RM's on how to structure the credit relationship., • Exhibits competency at independently reaching conclusions and forms clear view of credit structure and business risk to organization., • Solid understanding of industry nuances applicable to the credits contained within the group's portfolio., • Solid knowledge of loan and related legal documents., • Strong communication skills, and ability to influence others by persuasively presenting thoughts and ideas to gain commitment and agreement for proposed ideas and solutions., • Must demonstrate strong judgment and sound credit skills., • Knowledge of Federal banking regulations. Certifications: • Other: Completion of bank-certified course in Credit Training - Preferred. It Would Be Nice For You To Have: • Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education., • Experience in Microsoft Office products. This is an in-office position in mid-town NYC What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $78,750.00 USD Maximum: $122,500.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander 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, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: New York, NY, Madison Ave Corp Other Locations: New York-New York Organization: Banco Santander S.A.

Job Title: Senior Director, Client Service, Media Job Location: Hybrid- Atlanta, Boston, Chicago, New York City, Norwalk About the role The Senior Director role is a strategic leadership position responsible for overseeing a portfolio of high-value accounts and guiding strategic account teams. This individual acts as a senior advisor to executive-level stakeholders, influencing investment decisions and driving multi-year growth plans. The role combines deep expertise in media research and analytics with executive engagement and commercial accountability. Primary Responsibilities * Oversee a portfolio of high-value accounts; manage and lead small portfolio teams or strategic account teams to deliver exceptional client outcomes. * Serve as a senior advisor to executive-level stakeholders; influence strategic investment decisions through evidence-based insights. * Accountable for retention of portfolio and responsible for multi-year growth plans, cross-sell strategies, and achievement of significant revenue targets. * Lead executive-level research initiatives; synthesize primary, secondary, and advanced analytics into actionable narratives for senior decision-making. * Optimize resource allocation and deliver operational efficiency across portfolio teams; shape best practices for quality delivery at scale. * Represent Kantar in industry forums and enterprise-wide initiatives; champion innovation in media analytics and cross-platform measurement. * Develop and nurture high-performing teams by identifying, mentoring, and advancing top talent through a culture of continuous learning and collaboration. Essential Knowledge & Experience * 7+ years in media research, analytics, or consulting with proven success in executive-level engagement. * Expertise in digital ecosystems, cross-platform measurement methodologies, creative quality, and/or placement and audience insights. * Strong command of advanced research techniques, including attribution, ROI modeling, and audience segmentation. * Advanced ability to synthesize complex data into compelling narratives for executive audiences. * Proven ability to shape strategic investment decisions and drive commercial outcomes. * Track record of delivering multi-year growth plans and achieving significant revenue targets for an account portfolio. * Demonstrated success in managing senior client relationships and leading high-performing teams, including direct management of a team of 3 or more professionals. * Ability to navigate fast-paced agency or complex client environments, balancing strategic depth with delivery efficiency. * Bachelor’s degree in market research/marketing or related social science and analytic subject areas. Masters preferred Location New York, World Trade CenterUnited States of America Kantar Rewards Statement At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver. We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us. We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes. Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.

Principal Associate, Ontology and Data Modeling- Retail Bank. The Principal Associate of Ontology and Data Modeling, as part of Retail Bank Product, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterpris

Senior Manager, Software Engineering, Machine Learning - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. As a Capital One Machine Learning Engineer (MLE), you'll be part of software team dedicated to producing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Machine Learning Engineering 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, Machine Learning Engineer (People Leader) Capital One's Digital Commerce & Innovation organization is seeking a Machine Learning Engineer, People Leader, at the Senior Manager level with a passion for building and growing full stack applications to join its Velocity Black by Capital One team. As a candidate for this role, you’re able to seamlessly switch from diving deep into technology with engineers to driving high-level, strategic discussions. You are a naturally curious technologist and stay on top of emerging trends, including prototyping of nascent technologies. You are not afraid to question any existing processes and solutions, yet you display a keen sense of business value proposition and focus on the right priorities. At Capital One, you will help leverage 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. Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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: $245,900 - $280,600 for Sr. Mgr, Machine Learning Engineering 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 Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning 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 Machine Learning Engineer -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: * Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. * Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. * Fine-tune, develop and evaluate machine learning and foundation models, * Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities * Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. * Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. * Retrain, maintain, and monitor models in production. * Construct optimized data pipelines to feed ML models. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. 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. * You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. * 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. * Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Go, Scala, or Java * At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: * 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 * 6 years of experience designing, developing, delivering, and supporting AI services at scale * 3 years of experience developing AI and ML algorithms or technologies using Python * 2 years of experience with Retrieval Augmented Generation (RAG) * Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) 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: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning 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 Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $211,000 - $240,800 for Lead Machine Learning 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 Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning 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 Manager, Technology Change Risk Oversight Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, and managing technology risk. Technology Risk Management (TRM) is a small organization that packs a big punch. The ~100 professionals in TRM are trusted experts who oversee ~14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. Our business leaders must make technology decisions constantly. TRM makes sure they have the tech risk information they need to make good decisions. Associates within TRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. As the Senior Manager, Technology Change Risk Oversight you will play a key role in the review, risk identification, risk assessment, reporting, and effective challenge of technology processes, controls, and capabilities, including but not limited to material and high risk technology changes. You will provide subject matter expertise, oversight, and effective challenge of key Technology areas such as cloud services, enterprise architecture, cloud migrations, and overall technology deployments. As part of the second line of defense, this position will also collaborate closely with associates in first line Cyber, Technology, the Lines of Business, as well as other second line of defense risk management offices to perform and support evaluations of the effectiveness of the firm’s controls infrastructure and offer independent advice and recommendations regarding ways to further mature the firm’s cyber risk management capabilities. Finally, as a member of a growing organization, you will have the opportunity to shape and further refine your portfolio commensurate with the priorities of the organization and the company. The demands and high-visibility nature of this position requires an expert with a proven ability to work independently in a fast-paced environment and who can begin contributing immediately. Essential Functions (Responsibilities): * Provide technical leadership in assessing the practices of designing, developing, testing and implementing cloud native solutions to crucial business problems through thoughtful use of industry best practices and Capital One policy. * Evaluate proposed and approved cloud technical solutions for automation, resiliency, performance, scalability, and security including appropriate tradeoffs, risks and opportunities * Evaluate/assess complex technological and business environment migrations to the cloud and integrated end-to-end solution options * Build and maintain relationships with technical leaders, business owners, engineers and other stakeholders to understand and evaluate implementation plans, business priorities and technical solutions to ensure risk are well communicated and understood by the key stakeholders * Keep up-to-date on cutting edge technology, standards, protocols and tools in areas relevant to the rapidly changing environment at Capital One, specifically cloud native architecture, serverless, and emerging AWS services * Demonstrate strong analytical, problem-solving, and decision-making skills * Communicate and drive highly complex technology solutions to broad audiences including executives, business leaders, product managers, legal experts, security specialists and software engineers * Define, structure and plan work independently * Perform independent risk assessment of our cloud environment focusing on architecture, engineering, networking, governance. * Provide expertise and advice regarding the effectiveness of device configurations, IT architecture, or IT engineering solutions * Consult with risk owners on the design and implementation or adjustment of mitigating controls associated with emerging technologies * Draft and publish independent reports for risk owners, senior management, and other stakeholders regarding risks associated with new or emerging technologies Basic Qualifications: * Bachelor’s Degree or military experience * At least 6 years of experience managing, consulting, auditing, or working in the fields of information security or information technology * At least 3 years experience with Public Cloud implementations Preferred Qualifications: * Master’s Degree in Computer Science or in an Engineering discipline * Professional certification (AWS Certified Solutions Architect, AWS Certified Security Speciality, AWS SysOps Administrator, or Certified Information Systems Security Professional (CISSP)) * Experience with Information Security at the policy, architecture or implementation level * Ability to communicate clearly and to interact effectively at all levels of the organization, and to influence as warranted and appropriate to drive to consensus * Experience with identifying and communicating key risks related to cloud native implementations and architectures * Experience drafting reports or analytic assessments for senior management * Experience with analysis of emerging threats and reports that describe the implications of threat(s) and opportunities to executives or senior decision-makers * Passion and expertise in cybersecurity and technology risk, with an ability to be confident, respectful, and articulate when registering dissenting or unpopular opinions * Ability to manage multiple high-visibility and high-impact projects while maintaining superior results * Execution oriented and a self-motivator * Experience with threat modeling frameworks (STRIDE, OWASP Top 10, MITRE ATT&CK) * Familiarity with controls and control frameworks ( NIST Cybersecurity Framework, NIST 800-53, CIS Top 20, ISO, COBIT.) * Ability to work independently and in a team, taking a lead role on projects when necessary * Prior experience working in financial services or other highly-regulated sectors * Experience working in a hybrid IT environment that includes both traditional on-premises data centers and public cloud infrastructure (e.g., AWS, Azure, Google Cloud) * Experience with OpenStack At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is Hybrid, with associates expected to consistently spend three days per week in the office. 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 Manager, Cyber Technical Richmond, VA: $204,900 - $233,800 for Sr Manager, Cyber Technical New York, NY: $245,900 - $280,600 for Sr Manager, Cyber Technical Riverwoods, IL: $204,900 - $233,800 for Sr Manager, Cyber Technical 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).

Job Description Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis. Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact. About the role : The Enterprise Sales Representative for Things To Do manages and expands Groupon's national portfolio of high-value partners in the experiences, attractions, and entertainment sectors. This role directly supports Groupon's growth strategy by driving revenue and margin expansion through strategic account management and innovative partnership models. Now is the time to scale this capability — success in this role will unlock stronger partner relationships, improved profitability, and sustained growth in one of Groupon's most dynamic verticals. North Star : Expand and optimize Groupon's Things To Do merchant portfolio by delivering sustainable revenue and margin growth through strategic account management, innovative partnership models, and data-driven sales execution. What You Will Accomplish : Strategic Growth & Transformation * Drive sustainable double-digit growth across a book of business of $1M+ national accounts with multi-venue locations. * Transform sales strategies and long-term planning to unlock new growth pathways and partnership models. * Proactively identify and execute growth opportunities before partners or competitors do. * Build and maintain senior-level (C-suite) relationships with decision-makers by driving meaningful, strategic conversations. * Deeply understand all facets of partners' businesses - operations, marketing, distribution, pricing, seasonality - to deliver consultative, value-driven solutions. * Analyze unit economics and performance data to identify margin optimization opportunities and design partnership structures that drive mutual profitability. Partnership Innovation & Business Development * Expand existing relationships via upselling, cross-selling, and margin-improvement initiatives. * Integrate flash-sale activations into partner negotiations as a standard growth lever. * Leverage data and market insights to uncover new revenue opportunities and model business cases for partnership investments. * Push the boundaries of what Groupon can offer by advocating for product and technology enhancements that support growth plans. * Crunch numbers and build financial models to support strategic recommendations and demonstrate ROI to partners and internal stakeholders. Flash-Sale & Campaign Leadership * Lead the design and rollout of limited-time promotional campaigns with partners. * Collaborate with marketing, operations, and finance to ensure flawless execution. * Measure campaign ROI and analyze performance data to present learnings and optimize future initiatives. Cross-Functional Leadership & Influence * Work cross-functionally to drive changes in product, tech, and operations that are required to execute growth strategies. * Push back on systems, processes, or internal barriers that impede progress without delivering meaningful value to partners or Groupon. * Conduct regular business reviews and in-person partner meetings with data-driven insights and actionable recommendations. * Serve as a trusted advisor on category trends and competitive opportunities. * Partner cross-functionally to ensure contract accuracy, operational readiness, and partner satisfaction. What You Bring : * 5+ years of enterprise sales or strategic account management experience specifically in Things To Do supply negotiations and expansion (attractions, entertainment, tours, activities, or related verticals). * Demonstrated track record of delivering multi-million dollar account growth with specific examples of revenue expansion across major partnerships. * Proven strategic work for major accounts, including examples of transformational partnership structures, pricing models, or go-to-market strategies that drove measurable business impact. * Strong analytical capabilities with demonstrated experience working with unit economics, financial modeling, and performance data to drive meaningful changes and achieve sales goals. * Leadership experience mentoring sales professionals or cross-functional teams, with a track record of elevating team capabilities and building best-in-class enterprise sales practices. * Existing senior relationships within the Things To Do / attractions / entertainment sectors strongly preferred. * Exceptional consultative selling, negotiation, and C-level presentation skills with the ability to drive strategic conversations and challenge the status quo. * Data-driven decision-making capabilities with comfort analyzing complex datasets, building business cases, and translating insights into action. * High proficiency in CRM systems (Salesforce), pipeline management tools, and Excel/analytical tools. * Proactive, self-starter mentality with demonstrated ability to shape outcomes rather than wait for direction. Who You Are : * A play-maker, not an order-taker - you create opportunities, drive strategy, and shape the future rather than waiting for assignments. * Proactive and relentless - you see what needs to happen and make it happen, often before anyone else realizes it's needed. * Data-led and analytical - you're comfortable crunching numbers, analyzing unit economics, and building financial models to support strategic decisions and drive meaningful changes. * A strategic challenger who pushes back on systems, processes, or norms that don't deliver meaningful value or impede growth. * Deeply curious about partners' businesses - you ask questions, dig into operations, understand pain points, and uncover opportunities others miss. * A cross-functional influencer who works effectively across product, tech, marketing, and operations to drive changes needed for growth plans. * Someone who pushes boundaries - you constantly test the limits of what's possible and advocate for innovation when it drives results. * A team elevator who actively mentors colleagues, shares best practices, and is passionate about building a first-class enterprise sales function that raises the bar for everyone. * Strategic thinkers who connect partner success with Groupon's commercial growth. * Relationship builders who operate credibly with executives and industry leaders. * Resilient operators who thrive in a fast-changing, high-accountability environment. * Owns outcomes - from sales performance to margin structures to merchant relationships. * Measures everything in value - you use data and unit economics to clearly articulate ROI, strategic impact, and growth pathways. * Drives transformation by implementing best practices that create sustainable, scalable growth. * Thinks strategically while executing tactically across sales, merchandising, and marketing functions. * Delegates operations work to the ops team in order to focus on sales growth and strategic initiatives. How We Measure Your Success : * Sustainable double-digit revenue growth across assigned book of business * Margin improvement on existing partnerships * Flash sales integration and NVR contribution * Expansion of strategic relationships and partnership depth * New revenue streams developed through creative strategies * Transformational improvements to sales processes, partnership models, and long-term planning * Product and technology enhancements driven through cross-functional advocacy * Data-driven insights delivered that shape strategy and improve unit economics * Impact on team capability development and enterprise sales best practices implementation Salary: The base salary compensation for this role ranges between $63,000 to $86,000. The variable compensation for this role ranges from $51,000 to $69,000 for a total compensation range of 114,000 to $155,000. Groupon is an AI-First Company We're committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we're always keen to hear how technology improves the way you work. If you're passionate about AI or curious to explore how it can elevate your role—you'll be right at home here. Groupon's purpose is to build strong communities through thriving small businesses. To learn more about the world's largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that's a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services. Beware of Recruitment Fraud: Groupon follows a merit-based recruitment process without charging job seekers any fees. We've noticed an increase in recruitment fraud, including fake job postings and fraudulent interviews and job offers aimed at stealing personal information or money. Be cautious of individuals falsely representing Groupon's Talent Acquisition team with fake job offers. If you encounter any suspicious job offers or interview calls demanding money, recognize these as scams. Groupon is not responsible for losses from such dealings. For legitimate job openings (and a sneak peek into life at Groupon), always check our official career website at Groupon Careers

Job DescriptionLocation: New York City, United States Reports to: Head of Fixed Income Trading Position Overview We are expanding our Fixed Income team, the firm’s newest division launched in 2023, and are seeking a US Corporate Credit Trader with deep expertise in US corporate credit markets. In this role, you will drive proprietary trading strategies across investment-grade and high-yield corporate bonds, CDS, leveraged loans, and other related instruments. Key Responsibilities: • Execute proprietary trading strategies in US corporate credit, including IG/HY bonds, CDS, and leveraged loans., • Conduct in-depth analysis of credit spreads, macro/microeconomic developments, and sector trends to identify trading opportunities., • Manage a proprietary risk portfolio with disciplined position sizing, stop-loss adherence, and risk-reward oversight., • Monitor market movements and dynamically adjust trading strategies to capitalize on relative value and market dislocations., • Collaborate with research, risk, and other traders to refine strategies and enhance market insights., • Leverage systematic and algorithmic tools where appropriate to improve trading efficiency and execution.Qualifications:, • Minimum 3 years of proprietary trading experience in US corporate credit, including IG/HY bonds, CDS, and leveraged loans., • Proven track record of generating consistent risk-adjusted returns in a fast-paced trading environment., • Strong quantitative, analytical, and decision-making skills., • Proficiency with Excel, SQL, Python, or other platforms for analytics, modeling, and strategy support., • Strategic thinker with ability to interpret complex market and macroeconomic data., • Comfortable operating under pressure and collaborating in a high-performance team., • Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or a related field; CFA or advanced degree preferred.What We Offer:, • Competitive salary with performance-based bonuses., • Access to a dedicated proprietary trading platform with strong support infrastructure. N51qcjXOl2

Job Description Title: Private Equity Associate (Entry-Level) – Career Launch AI Talent Network Location: New York, NY (Hybrid) Type: Full-Time Compensation: Typically $140,000 – $185,000+ total compensation (varies by employer) About This Role (and Why It’s Different) This Private Equity Associate opportunity is an example of the real roles featured on the Career Launch AI private job board – a members-only marketplace of high-paying, early-career jobs in finance, consulting, tech, and strategy. Instead of endlessly applying into the void, Career Launch AI helps you: * Find roles like this before they hit public job boards * Get directly in front of hiring managers and recruiters * Use AI to apply to 1,000+ relevant roles for you * Get 1:1 support, interview prep, and warm introductions * Stay supported until you land your next role To access roles like this and work with us directly, go to: 👉 and apply on the site. About the Opportunity A lower middle-market private equity firm (representative of the firms in our network) is seeking a highly motivated, analytically strong Entry-Level Private Equity Associate. This role is ideal for someone who wants to work directly on live deals, portfolio companies, and investment decisions early in their career. You’ll work in a lean deal team environment where your work actually matters: modeling, due diligence, and investment committee materials – not just slide formatting. Day-to-Day Responsibilities As a Private Equity Associate, your responsibilities may include: Deal Evaluation & Financial Modeling * Build detailed operating and transaction models (3-statement models, DCF, LBOs, sensitivity analysis). * Analyze returns, capital structures, and downside scenarios for potential acquisitions. * Conduct valuation analyses using comparable companies, precedent transactions, and other relevant methods. Due Diligence & Market Research * Support the due diligence process across financial, commercial, operational, and legal workstreams. * Analyze target company financials, KPIs, customer cohorts, and unit economics. * Conduct industry and competitive research to understand market dynamics, trends, and risks. Investment Committee Support * Draft and refine investment memos and presentations for the Investment Committee. * Summarize key findings from diligence and articulate the investment thesis clearly. * Present data-backed opinions on risks, opportunities, and value-creation levers. Portfolio Company Support * Support portfolio management teams with dashboards, KPIs, and performance tracking. * Help identify operational improvements, growth initiatives, and strategic priorities. * Assist in bolt-on acquisition analysis, refinancing considerations, and exit scenarios. What Makes This Work Exciting * Direct exposure to founders, CEOs, and management teams. * Real impact: the work you do influences whether millions of dollars are invested. * Rapid learning curve in M&A, operations, and strategic finance. Ideal Candidate Profile This is a representative profile firms in our network look for: Education & Technical Skills * Bachelor’s degree in Finance, Economics, Accounting, Engineering, Math, or similar field. * Very strong Excel skills; able to build & audit complex models. * Solid foundation in corporate finance, accounting, and valuation. Experience (Formal or Informal) * Prior internships or full-time experience in investment banking, PE/VC, consulting, or corporate finance is a plus (but not always required if you’re exceptional). * Demonstrated interest in investing, deals, and business analysis (clubs, projects, side hustles, or self-directed learning count). Soft Skills & Mindset * High ownership mentality — you don’t wait to be told what to do; you hunt for answers. * Strong written and verbal communication — you can tell the story behind the numbers. * Comfortable with long hours when deals are live and stakes are high. * Curious, humble, and coachable — willing to learn fast and iterate. How Career Launch AI Helps You Land Roles Like This Most people never even see roles like this, let alone interview for them. Career Launch AI changes that. When you join Career Launch AI at you get: AI-Powered Job Search Automation * Our AI applies to 1,000+ relevant roles per month on your behalf with tailored resumes & messaging. * We target investment banking, private equity, venture capital, hedge funds, corporate development, and top-tier finance roles that match your background. Human-Led Recruiter & Hiring Manager Outreach * We don’t just apply — our team directly engages recruiters and decision-makers at relevant firms to get you warm conversations. * You get outreach campaigns run under your brand on LinkedIn and email. Done-For-You Execution * You don’t have to learn a dozen tools or manage a massive spreadsheet of applications. * You complete an onboarding form; we handle the systems, campaigns, and tracking. Interview & Case Preparation * We support you with PE-style case prep, financial modeling review, and behavioral questions. * You get feedback and guidance so you walk into interviews prepared, not guessing. Support Until You’re Hired * We don’t disappear after a few weeks — we stay in your corner until you land. If you see yourself in a role like this, don’t just wait for a posting. Build an engine that gets you in front of opportunities like this, every week. 👉 Apply now at

Job DescriptionDescription: Full time employee opportunity. Hybrid in New York City We are seeking a passionate and technically skilled Marketing Automation Lead to design, execute, and optimize multi-channel CRM campaigns using Braze. This role combines strategic leadership, hands-on development, and campaign execution to drive fan engagement and lifecycle marketing initiatives. You will collaborate with cross-functional teams to deliver personalized experiences across email, SMS, push, and in-app channels. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $120K - $130K Responsibilities: • Campaign Strategy & Execution, • Manage end-to-end campaign process: audience segmentation, personalization, QA, and deployment., • Build and optimize lifecycle campaigns (onboarding, retention, reactivation) using Braze., • Implement A/B and multivariate tests to improve engagement and conversion rates., • Technical Development, • Configure and orchestrate complex customer journeys in Braze., • Develop dynamic templates using Liquid for personalization and conditional logic., • Ensure accurate tracking, targeting, and rendering across devices and email clients., • Data & Insights, • Leverage fan profile data, behavioral insights, and predictive modeling to inform strategies., • Monitor KPIs and extract actionable insights for continuous optimization., • Collaboration & Leadership, • Partner with Marketing, Data & Analytics, Product, and external vendors to align on goals., • Bachelor’s degree with 5+ years of experience in marketing automation or CRM roles., • Hands-on experience with Braze (or similar platforms like SFMC, Iterable)., • Proficiency in HTML/CSS for email development and Liquid scripting for personalization., • Strong understanding of segmentation, dynamic content, and lifecycle marketing., • Familiarity with data models and integration workflows., • Excellent communication and project management skills. Preferred Skills: • Working knowledge of predictive modeling and machine learning for CRM optimization., • Knowledge of REST APIs and JSON for connected content., • Proficiency in Photoshop for creative adjustments., • Passion for innovation and fan engagement. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We’re hiring a Marketing Analytics Lead to be the connective tissue across Brand, Growth, and Product Marketing who will turn noisy, multi-country data into crisp, executive-level recommendations on where and how we invest next. You’ll own the monthly, big-picture view of marketing performance (actuals vs. forecast), manage the marketing budget tracker, synthesize country-level trends, and translate MMM/incrementality learnings into budget allocation considerations across campaigns and channels. You’ll also run our Monthly Marketing Trends meeting with the VP, Global Marketing and the Brand, Growth, and PMM Directors, providing one narrative that aligns teams, results and investment.Responsibilities • Build and maintain executive-ready dashboards/scorecards by market, objective, and channel (spend, reach, efficiency, brand health and brand lift)., • Set the agenda, build the pack, and facilitate the monthly discussion with the VP and Directors., • Present regional, country, strategy and and channel-level trends; explain actual vs. forecast variance, drivers, risks, and opportunities., • Recommend reallocation scenarios across campaigns/channels; track decision follow-through., • Run “what-if” scenarios using MMM elasticities and test results to guide investment allocation., • Maintain market-level forecasts; decompose variance and advise on course-corrections., • Tracking of country level allocations by strategy against annual plan, • Prepare/share clean inputs for MMM and incrementality; ensure data fidelity and methodological consistency., • Digest and socialize findings with clear implications for media mix, incrementality and market-level investment., • Partner with brand, growth & media teams for holdout implementation and analysis for channel investment and large scale campaigns., • Partner with finance on top of funnel business trends analysis on an ad-hoc basis (i.e. if we see conversion changes and need to dig into the source), • Produce high-level readouts for big campaign moments: including pre-/post- and YoY comparisons., • Combine business metrics (e.g., acquisition, revenue proxies, LTV indicators) with brand health metrics (e.g., QuestBrand/YouGov/Ipsos, platform brand-lift) to form a POV on whether objectives were met and what we learned., • Support the VP, Global Marketing in “state of the business” reviews across geographies., • Surface country-level signals, opportunities, and risks; coordinate with Finance, Media, and Marketing to align on actions., • Serve as the Global Marketing analytics point-of-contact with Match Group central analytics teams and external partners., • Collaborate with Data Engineering/Analytics to QA pipelines and keep decision-grade data flowing.What We’re Looking For, • 7–10+ years in marketing/media analytics (consumer subscription or mobile/app experience a plus)., • Strong BI skills (Looker/Tableau/Data Studio); working fluency in Python/R for analysis and scenario modeling., • Hands-on experience supporting MMM and incrementality/geo tests; proven ability to convert model outputs into budget decisions., • Fluency with brand-lift methodologies and brand equity tracking (e.g., QuestBrand, YouGov, Ipsos) and how to integrate with performance KPIs., • Executive presence: succinct storytelling, meeting facilitation, and stakeholder management across senior audiences., • Data rigor: taxonomy design, QA habits, comfort with ambiguity, and bias to action. #Hinge

Sr. Manager, Technical Program Management Are you interested in leading programs that deliver on critical business goals and build large scale products & platforms? About Capital One: At Capital One, we’re changing banking for good. We were founded on the belief that no one should be locked out of the financial system. We’re dedicated to helping foster a world where everyone has an equal opportunity to prosper. We’re a bank, but we don’t think like one. We’re always thinking about what’s next, about how we can innovate and inspire, and about how we can develop the tools our customers need to improve their financial lives - by leveraging best in class technology. That’s where you come in. About the team: As a Senior Manager of Technical Program Management (TPM) on Capital One’s Enterprise product & platform organization, we’re looking for someone that can help us build solid platforms on mobile and web surfaces that will help Capital One customers to have incredible experiences. The platforms are the foundational blocks on which Capital One’s various lines of businesses (like credit card, retail banking, auto finance) will build delightful experiences for our customers. This Senior Manager of Technical Program Management (TPM) will support our Finance Tech Leadership and Support Team, driving key programs as a part of the integration between Discover and Capital One. We are looking for someone that will bring experience leading large scale data engineering and architecture initiatives, partnering with business and product teams to deliver and manage the dynamic roadmap and ensure successful delivery. The ideal candidate will have a deep understanding of data warehousing concepts, data lakes, ETL/ELT pipeline design, and data modeling leveraging cloud based solutions. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve. Our TPM Sr. Managers have: * Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle * Exceptional communication and collaboration skills * Excellent problem solving and influencing skills * A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker * Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives * Deep focus on execution, follow-through, accountability, and results * Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. * Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Basic Qualifications: * Bachelor's degree * At least 5 years of experience managing technical programs Preferred Qualifications: * 5+ years of experience designing and building data-intensive solutions using distributed computing * 5+ years of experience in data engineering * 5+ years of experience in data architecture * 3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS * 3+ years of experience with Agile delivery * 3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact * Experience in building systems & solutions within a highly regulated environment * Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering) At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $193,000 - $220,300 for Sr. Manager, Technical Program Management McLean, VA: $193,000 - $220,300 for Sr. Manager, Technical Program Management New York, NY: $210,500 - $240,300 for Sr. Manager, Technical Program Management Richmond, VA: $175,500 - $200,300 for Sr. Manager, Technical Program Management 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).

We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning. Benefits: ● This is a full-time or part-time REMOTE position ● You’ll be able to choose which projects you want to work on ● You can work on your own schedule ● Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work Responsibilities: ● Give AI chatbots diverse and complex problems and evaluate their outputs ● Evaluate the quality produced by AI models for correctness and performance Qualifications: ● Fluency in English (native or bilingual level) ● Detail-oriented ● Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management ● A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning. Benefits: ● This is a full-time or part-time REMOTE position ● You’ll be able to choose which projects you want to work on ● You can work on your own schedule ● Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work Responsibilities: ● Give AI chatbots diverse and complex problems and evaluate their outputs ● Evaluate the quality produced by AI models for correctness and performance Qualifications: ● Fluency in English (native or bilingual level) ● Detail-oriented ● Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management ● A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning. Benefits: ● This is a full-time or part-time REMOTE position ● You’ll be able to choose which projects you want to work on ● You can work on your own schedule ● Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work Responsibilities: ● Give AI chatbots diverse and complex problems and evaluate their outputs ● Evaluate the quality produced by AI models for correctness and performance Qualifications: ● Fluency in English (native or bilingual level) ● Detail-oriented ● Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management ● A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning. Benefits: ● This is a full-time or part-time REMOTE position ● You’ll be able to choose which projects you want to work on ● You can work on your own schedule ● Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work Responsibilities: ● Give AI chatbots diverse and complex problems and evaluate their outputs ● Evaluate the quality produced by AI models for correctness and performance Qualifications: ● Fluency in English (native or bilingual level) ● Detail-oriented ● Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management ● A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning. Benefits: ● This is a full-time or part-time REMOTE position ● You’ll be able to choose which projects you want to work on ● You can work on your own schedule ● Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work Responsibilities: ● Give AI chatbots diverse and complex problems and evaluate their outputs ● Evaluate the quality produced by AI models for correctness and performance Qualifications: ● Fluency in English (native or bilingual level) ● Detail-oriented ● Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management ● A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Principal Software Engineer, Data Architecture Overview: Mastercard’s Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard’s enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard’s global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercard’s Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem—unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution • Lead the design and execution of Mastercard’s enterprise data architecture across a complex, global ecosystem., • Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms., • Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR)., • Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units., • Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems., • Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains., • Collaborate with Mastercard’s Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards., • Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration., • Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling., • Act as a trusted advisor to business, product, and engineering leaders—bridging technical strategy with enterprise priorities., • Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: • Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy., • Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop., • Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift., • Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP)., • Knowledge of Data Mesh principles, federated governance, and data product lifecycle management., • Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models., • Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking., • Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates., • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders., • Strong executive presence with the ability to translate complex architecture concepts into business language., • Experience mentoring and leading global, cross-functional teams of high-performing technical talent., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: * Abide by Mastercard’s security policies and practices; * Ensure the confidentiality and integrity of the information being accessed; * Report any suspected information security violation or breach, and * Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD

Senior Threat Detection Engineer The Threat Detection & Analytics team is seeking qualified professionals to join our ranks. This highly specialized team of skilled engineers serves as experts in creating high-quality detection logic and telemetry for our Security Operations Center (SOC) and related enterprise teams. With a world-class array of data-driven technologies at our disposal, we employ a risk-based approach to security detection based on best practices and industry frameworks. As a Detection Engineer, you will defend Capital One by helping to evolve, run, and maintain an adaptive threat detection program. General responsibilities of this role include: * Analyzing data from a variety of sources (network, endpoint, application, etc.) and contributing to the full-lifecycle development of our cyber defense strategy * Creating detection logic, models, tooling, and frameworks to help our SOC analysts detect potential cyber incidents * Utilizing behavioral analytics technologies (e.g., UEBA) to better analyze and understand the full picture of user and entity behavior * Participating in threat modeling sessions with other teams to identify and defend against adversary Tactics, Techniques and Procedures (TTPs) * Leveraging automation platforms (e.g., SOAR) to improve incident identification and response times * Onboarding and normalization of telemetry to enhance our Security Information and Event Management System (SIEM) * Tuning detection capabilities and tooling to eliminate noise * Collaborating with Offensive Security teams to analyze and evaluate security monitoring effectiveness * Partnering with other engineering and security teams to improve our detection capabilities across the organization * Leading design discussions, code reviews, and paired programming sessions Basic Qualifications: * High school diploma, GED or equivalent certification * At least 3 years of Cybersecurity experience * At least 3 years of big data experience Preferred Qualifications: * Bachelor’s Degree * 5+ years of cybersecurity experience * 4+ years of AWS cloud security * 4+ years of experience in SIEM * 3+ years of scripting experience in Python or PowerShell * 2+ years of experience in Splunk * 2+ years of user/entity behavioral analytics At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Riverwoods, IL: $144,200 - $164,600 for Prin Assoc, Cyber Technical McLean, VA: $158,600 - $181,000 for Prin Assoc, Cyber Technical New York, NY: $173,000 - $197,400 for Prin Assoc, Cyber Technical 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).

Distinguished Data Engineer - Card Data Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank’s core profitability and security, this is your team. This leader must have the ability to attract and recruit the industry’s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. Our Distinguished Engineers Are: * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices * Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 3 years of experience in data architecture * At least 2 years of experience building applications in AWS Preferred Qualifications: * Masters’ Degree * 9+ years of experience in data engineering * 3+ years of data modeling experience * 2+ years of experience with ontology standards for defining a domain * 2+ years of experience using Python, SQL or Scala * 1+ year of experience deploying machine learning models * 3+ years of experience implementing big data processing solutions on 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. Chicago, IL: $239,900 - $273,800 for Distinguished Data Engineer McLean, VA: $263,900 - $301,200 for Distinguished Data Engineer New York, NY: $287,800 - $328,500 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished Data 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 Manager, Information Security Office Consultant At Capital One, you will help consult on initiatives, programs, and projects to raise their game in Information Security. You are pragmatic and practical in your understanding of risk and security, but also willing to know when to pull in experts and escalate. You collaborate and innovate with other teams within Capital One to push the envelope. You are comfortable with Cloud Service technologies like Storage Services, Security & Access Control Management, Container Services, and API Implementation and Management. You are familiar with various Cloud computing models to include IaaS, PaaS, and SaaS along with their architectural differences. Security is essential to what we do here, from protecting our customers to our associates. As a Senior Manager, You will play a leading role in delivering product security advisory services for a fast moving project within a line of business portfolio, working closely with other professionals as required. You have the ability to lead complex problem solving in partnership with multiple stakeholders in a fast-paced environment, driving results with critical impact. You will work with the other Information security consultants, business, technology and risk partners to achieve time sensitive goals and objectives in a secure manner with a heavy forward lean on modern software and technology architectures. Responsibilities: * Act as an Information Security point of contact for a business function within the Card line of business * Coordinate and execute proactive Information Security consulting to the business and technology teams covering Infrastructure Security, Resiliency, Data Security, Network Architecture and Design, and User Access Management * Serve as an expert in Capital One’s Information Security capabilities, solutions, policies, procedures and standards * Leverage strong technical acumen and be security SME reviewing architecture, providing risk mitigation solutions and driving overall risk management. * Partner closely with engineers, product managers, and other cross-functional partners to help break down complexity and organizational silos to problem solve. * Influence customers to leverage security capabilities and solutions to shift and integrate security to the left in the development processes * Escalate and manage cyber security risk * Provide ad hoc support on special Information Security hot topics for the business * Provide regular updates to executive leadership with your line of business on the overall Information Security health and risk environment About You: * You have a desire to work in a very fast moving, forward leaning, and modern computing environment * You have experience in securing large-scale e-commerce platforms, with deep understanding of payments systems, customer data protection across high transaction environments ensuring protection of user data across internal and partner ecosystems. * You have a deep passion for Securing modern computing platforms * You have a strong desire to continually learn about new technologies * You possess strong conceptual thinking and communication skills * You are able to work well under minimal supervision * You are a demonstrated leader with team-oriented interpersonal skills and the ability to interface effectively with a broad range of people and roles, including upper management, IT leaders, and technology vendors * You maintain calmness and clarity of thought under pressure and ability to maintain confidentiality * You have a deep understanding of strategic business objectives and the ability to drive results toward those objectives Basic Qualifications: * High School Diploma, GED or equivalent certification * At least 6 years of experience working in cybersecurity or information technology * At least 5 years of experience providing guidance and oversight of Security concepts * At least 5 years of experience performing security risk assessments and security architecture reviews * At least 5 years of experience with architecture, software design, networking, and cloud infrastructure * At least 4 years of experience with cloud security engineering Preferred Qualifications: * Bachelor’s Degree * 6+ years of experience Application Security, Threat Modeling, Penetration Testing, Vulnerability Management * 4+ years of experience in securing a public cloud environment (e.g. AWS, GCP, Azure) * 2+ years experience in e-commerce industry * 2+ years of experience building software utilizing public cloud (e.g. AWS, GCP, Azure) * 1+ years of experience in security integration for Mergers and Acquisitions * 1+ years of experience with Cloud patch management practices such as system rehydration and image management * 1+ years of experience utilizing Agile methodologies * 1+ years of experience with Software Security Architecture * 1+ years of experience with Application Security * 1+ years of experience with Threat Modeling * 1+ years of experience with Penetration Testing and/or Vulnerability Management * 1+ years of experience with integrating SaaS products into an Enterprise Environment * 1+ years of experience with securing Container services * 1+ years of experience with Splunk-Fu and Enterprise Monitoring experience * 1+ years of experience in a Financial services industry experience * 1+ years of experience with Offensive or Defensive Security techniques * AWS Certified Solutions Architect or Certified Information Systems Security Professional (CISSP) certification At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). 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 Manager, Cyber Technical New York, NY: $245,900 - $280,600 for Sr Manager, Cyber Technical Plano, TX: $204,900 - $233,800 for Sr Manager, Cyber Technical Richmond, VA: $204,900 - $233,800 for Sr Manager, Cyber Technical 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).

We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning. Benefits: ● This is a full-time or part-time REMOTE position ● You’ll be able to choose which projects you want to work on ● You can work on your own schedule ● Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work Responsibilities: ● Give AI chatbots diverse and complex problems and evaluate their outputs ● Evaluate the quality produced by AI models for correctness and performance Qualifications: ● Fluency in English (native or bilingual level) ● Detail-oriented ● Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management ● A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

We are looking for a finance professional to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of financial reasoning- a completed or in progress Masters/PhD is preferred. Other related fields include, but are not limited to: Financial Accounting, Investment Banking, Wealth Management, and Insurance Planning. Benefits: ● This is a full-time or part-time REMOTE position ● You’ll be able to choose which projects you want to work on ● You can work on your own schedule ● Projects are paid hourly starting at $50-$60 USD per hour, with bonuses on high-quality and high-volume work Responsibilities: ● Give AI chatbots diverse and complex problems and evaluate their outputs ● Evaluate the quality produced by AI models for correctness and performance Qualifications: ● Fluency in English (native or bilingual level) ● Detail-oriented ● Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management ● A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contract position.

The Opportunity We are seeking an experienced Vulnerability Management and Configuration Assurance Engineer to join our Vulnerability Management and Configuration Assurance team. The ideal candidate will have a deep understanding of security principles, vulnerability management and secure baseline configuration monitoring and designing, implementing, and optimizing vulnerability assessment solutions for MassMutual. As an advanced-level engineer, you will collaborate with cross-functional teams to ensure the security posture of our organization meets industry standards and regulatory requirements. The Team The Vulnerability Management and Configuration Assurance (VMCA) team is responsible for identifying, assessing, prioritizing, reporting, and continuous monitoring of vulnerabilities and configuration baseline deficiencies within our organization’s infrastructure, applications, and systems. Our team plays a critical role in maintaining the security posture of the company by proactively managing vulnerabilities that could be exploited by attackers. VMCA is motivated by a shared sense of responsibility to protect the organization’s assets and reputation by knowing our work directly mitigates security threats and prevents potential breaches, strong collaboration with other security and IT teams, continuous learning, innovation, and problem-solving. The culture of VMCA consists of proactive and preventative mindsets, collaboration, cross-disciplinary communication, accountability, ownership, agility, adaptability, inclusivity, knowledge sharing, and transparency. The Impact: Your key responsibilities will consist of the following to ensure digital assets are resilient against emerging threats, reducing potential financial and reputational damage from security incidents. Vulnerability Management * Lead the design, implementation, and continuous improvement of the enterprise vulnerability management program. * Hands on experience using automated scanning tools (e.g., Qualys, Tenable, Rapid7, Wiz) to identify, assess, report, and track vulnerabilities detected on operating systems, databases, network devices, mobile devices, and cloud services. * Perform advanced vulnerability assessments across on-premises, cloud, containerized, and hybrid environments. * Analyze vulnerability scan results, prioritize findings based on risk, exploitability, and business impact. * Integrate threat intelligence and MITRE ATT&CK mapping to contextualize vulnerabilities and enhance prioritization. * Collaborate with infrastructure and business information security officers (BISO) teams to drive timely remediation and mitigation. * Identify and recommend compensating controls when immediate remediation is not feasible. * Develop and maintain metrics and dashboards to report on vulnerability trends, remediation progress, and risk posture. Configuration Assurance * Utilize automated compliance tools to assess and validate configuration compliance for operating systems, databases, network devices, and cloud services. * Partner with IT and engineering teams to remediate configuration drift and ensure continuous compliance. * Map configuration assurance controls to regulatory frameworks (e.g., NIST, CIS, ISO 27001, PCI-DSS, HIPAA). * Maintain documentation of configuration standards and exceptions. Data Analytics & Visualization * Leverage data analytics to identify trends, anomalies, and risk concentrations across vulnerability and configuration data. * Build and maintain dashboards and visualizations using tools such as Tableau, etc. * Present actionable insights to technical and executive stakeholders to support risk-based decision-making. Tooling & Automation * Develop scripts and automation workflows to streamline scanning, reporting, and remediation tracking. * Integrate vulnerability and configuration data into SIEM, GRC, and ticketing systems. Governance & Reporting * Provide executive-level reporting and risk analysis to support strategic decision-making. * Participate in internal and external audits, ensuring evidence of vulnerability and configuration assurance controls. * Stay current with emerging threats, vulnerabilities, and security technologies. The Minimum Qualifications * Bachelor's or master's degree in computer science, Cybersecurity, or related field. * 8+ years of experience in vulnerability management, configuration assurance, or related security engineering roles. * Relevant security certifications such as CISSP, CISM, OSCP, GIAC (GSEC, GCIH, GCIA, etc.) from an industry recognized certifier (e.g., SANS/GIAC, CompTIA, ISACA, ISC2, etc.) The Ideal Qualifications * Hands on experience with vulnerability scanning tools and configuration assessment platforms. * Familiar with advanced vulnerability management techniques such as continuous threat and exposure management and external attack surface management. * Deep understanding of CVSS, MITRE ATT&CK, threat modeling, and risk-based prioritization. * Experience implementing and validating compensating controls in enterprise environments. * Knowledge of cybersecurity concepts and methods including secure configuration management, data protection, security monitoring, incident response, patch management, governance, enterprise security strategies, and architecture. * Deep understanding of security vulnerabilities, exploits, and mitigation techniques. * Strong understanding of risk analysis, vulnerability assessment methodologies, and securing baselines. * Clear understanding of various operating systems (Windows, Unix, etc.,), secure configuration and build images. * Experience with cloud platforms (AWS, Azure, GCP), container security (Docker, Kubernetes), and security frameworks specific to cloud environment. * Familiarity with security best practices, regulatory requirements, and industry frameworks (e.g., NIST, ISO, CIS, etc.). * Strong scripting skills (Python, PowerShell, Bash) for automation and data manipulation. * Strong knowledge of networking protocols, firewalls, VPNs, and security measures. * Strong analytical, problem-solving, communication, and technical writing skills. * Excellent communication skills and ability to influence cross-functional teams. * Experience working in large, complex environments. * Ability to manage multiple projects and tasks effectively, with a proactive and detail-oriented approach. * Able to translate complex technical issues into simple, easy to understand concepts. What to Expect as Part of MassMutual and the Team * Regular meetings with the Vulnerability Management and Configuration Assurance team. * Focused one-on-one meetings with your manager. * Access to mentorship opportunities. * Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups. * Access to learning content on Degreed and other informational platforms. * Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits. MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.

Role Overview Mercor is collaborating with a leading actuarial modeling partner to support high-priority analytical workflows in property and casualty (P&C) insurance. We’re seeking experienced P&C actuaries to provide contract-based support on tasks including loss triangle development, rate indications, trend selection, and large loss analyses. This opportunity involves technical execution of core reserving and pricing practices used in regulatory filings and internal reviews. It is ideal for actuaries with strong hands-on skills in Excel, reserving platforms, and actuarial judgment. Key Responsibilities - Build and analyze loss development triangles for paid and incurred data. - Calculate, compare, and select age-to-age and cumulative development factors. - Estimate ultimate losses and IBNR reserves using factor-based projections. - Perform rate indication calculations including trending and premium on-leveling. - Select frequency and severity trends with supporting documentation. - Conduct large loss load analyses using capping and truncation techniques. - Prepare reserve exhibits and filing-ready workpapers in Excel and PDF formats. Ideal Qualifications - 5+ years of experience in property and casualty actuarial roles. - Familiarity with Workers Compensation, Auto, Umbrella, or General Liability lines. - Proficiency with Arius, ResQ, R ChainLadder, or similar reserving tools. - Strong skills in Excel, with experience auditing and constructing complex models. - Solid understanding of insurance data sources such as Guidewire or Duck Creek. - Excellent documentation and communication skills, especially in technical contexts. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $60-100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Job DescriptionCompany Description About KIPP NYC: Founded in 1995, KIPP NYC Public Schools is a non-profit network of 18 free, public charter schools located in the Bronx, Brooklyn, and Manhattan. We partner with families and communities to create joyful, academically excellent schools where every child grows up free to create the future they want for themselves and their communities. From our first middle school, KIPP Academy in the Bronx, to today’s network of eight elementary schools, nine middle schools, and one high school, KIPP NYC provides students with engaging academics, arts, athletics, and social–emotional learning that prepare them for college, career, and beyond. Our commitment doesn’t end at graduation. Through KIPP Forward, we continue to support our alumni as they navigate college, career, and life, helping them define success on their own terms and pursue the paths that align with their goals and sense of purpose. Together, we serve more than 9,400 students, support 4700 alumni, and employ over 1,100 dedicated team members who bring passion, expertise, and commitment to our mission every day. Job Description Position Overview: Our Associate Teacher position provides extensive development and training to forge a path to a lead teaching position within our KIPP NYC schools. Associate Teachers share the responsibilities of a classroom with a lead teacher while they develop their skills and gain valuable in-classroom experience. Duties and Responsibilities: General responsibilities include (but are not limited to): • Collaborate with the Lead Teacher to support a curriculum that addresses the individual needs, interests, and abilities of students. Implement lessons prepared by the Lead Teacher that incorporate best practices and include accommodations for students' diverse needs., • When not conducting whole-class instruction, use data to support small groups and individual students through an inquiry-based curriculum that promotes a love of learning., • Plan and deliver daily small group intervention lessons., • Provide coverage and ensure high-quality instruction during the short-term absence of the Lead Teacher., • Work with guidance from the Lead Teacher to create a classroom environment that fosters learning and is developmentally appropriate for the students' maturity and interests., • Observe Lead Teachers and engage in debriefing sessions to discuss classroom management and instructional strategies. Collaborate with Lead Teachers to plan lessons and review upcoming classroom activities., • Direct the learning process to achieve curriculum goals, setting clear objectives for all lessons, units, and projects, and effectively communicating these objectives to students., • Utilize a range of instructional techniques and media that align with best practices, specific content expertise, physical space limitations, and the needs of individual students or groups. KIPP NYC will provide coaching, development, and tools for effective implementation., • Assess student learning with the guidance of the Lead Teacher through ongoing observations, authentic assessments, and formal evaluations. Provide frequent feedback to students, communicate progress to parents, and prepare written progress reports., • Collaborate with lead teachers to plan and deliver a rigorous college-preparatory curriculum aligned with Common Core standards., • Actively seek and apply feedback from team leaders and instructional coaches to enhance their teaching practice., • Use diagnostic assessment tools regularly to identify each student's learning strengths and needs, supporting targeted intervention and/or acceleration toward academic and leadership goals., • Take appropriate measures to ensure a safe environment for all students in the classroom and throughout the school., • Support the administration in enforcing all school policies and rules related to student life and behavior., • Participate fully in professional development sessions, team meetings, and staff committees as needed., • Maintain open and effective communication with students, parents, and community members. At KIPP NYC, we invest deeply in the development of our Associate Teachers. As part of the Associate Teacher Program, all Associate Teachers, who are not already certified in New York State, must enroll in a master's program that leads to New York State teacher certification. One benefit of joining our Associate Teacher program is the chance to earn your master’s degree—fully tuition-funded—through one of our graduate school residency partners. This means you can become a certified teacher while gaining hands-on experience in the classroom, without taking on the financial burden of graduate school. Thank you for your interest in becoming an Associate Teacher at KIPP NYC! If you are moving forward in our hiring process, you will hear back in January 2026. The Associate Teacher position is part of a one-year teacher fellowship. Full-time attendance is required beginning the first week of August 2026. Qualifications • Bachelor’s Degree from an accredited four-year educational institution., • A passion for being part of a team-oriented, mission-driven school culture., • Strong interpersonal skills that contribute to a collegial working environment and a healthy measure of the character traits we value: zest, grit, hope, social intelligence, gratitude, and a sense of humor., • A strong desire to become a better teacher by joining the KIPP NYC team, • Open to feedback and willing to constantly reflect, improve, and learn., • Proficiency in Spanish is a plus. Additional Information Compensation and Benefits: KIPP NYC offers a competitive salary of $63,750 for all Associate Teachers. KIPP NYC offers a generous benefits package, including, but not limited to, the following: • Robust benefits include medical, dental, and vision., • Generous time off, including 5 school vacation weeks, sick and personal days, and an extended summer break., • Up to 12 weeks of 100% parental leave., • Bright Horizon Back-up Child and Elder Care., • Employer-paid Life Insurance and Short-term/Long-term disability. This role is based in NYC and will require travel to our schools. If you relocate outside of a commutable distance or out of the state of NY, your employment will be subject to review, which may include separation from KIPP NYC. You must notify HR if you move or have plans to relocate. KIPP NYC LLC does not offer visa sponsorship or work authorization. KIPP NYC LLC is committed to creating a welcoming environment that includes employees with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving students and families throughout New York City. KIPP NYC LLC is an Equal Opportunity Employer. KIPP NYC LLC is committed to the principles of equal employment opportunity for all employees and applicants for employment.

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

This person complements the client’s “Translational / Clinical Pharmacology Decision-Maker” team by grounding dose selection and exposure–response analysis in quantitative structure and parameter plausibility. ### Who we’re looking for - Deep hands-on experience in PK, PD, exposure–response modeling, and ideally population PK or QSP. - Expert at model fitting, sensitivity analysis, and identifying non-plausible parameter spaces. - Can evaluate the validity of dose–exposure predictions and detect high-risk extrapolations. - Comfortable designing model evaluation rubrics that distinguish between acceptable vs. non-credible outputs. - Able to articulate how quantitative checks should complement narrative decision logic. Nice-to-have: - Experience supporting translational or clinical pharmacology leads in dose justification. - Familiarity with integrating nonclinical PK/PD data (2-species GLP → human FIH extrapolation). ### Experience level - ~8–12 years of quantitative pharmacology experience in pharma, CROs, or modeling consultancies. - Strong portfolio in population PK/PD, exposure–response, and parameter estimation using NONMEM, Monolix, or equivalent tools. - Demonstrated ability to interpret model results for decision-making, not just fit data. - Can create fit-for-purpose models and critique model structures or assumptions under uncertainty. ### Expectations - Design and refine micro-evaluations for PK/PD performance (curve fits, parameter checks, error taxonomies). - Encode quantitative sanity checks into model rubrics for automated evaluation. - Define failure conditions (e.g., unsafe extrapolation, poor coverage curves, invalid assumptions). Inputs we give: - PK/PD datasets, tox summaries, and performance prompts (e.g., “fit exposure–response curves, interpret safety margins”). - Example model outputs from automated systems. Expected outputs: - Quantitative Rubrics: clear thresholds for acceptable parameter fits, coverage curve quality, and model integrity checks. - Golden Fit Examples: representative “ideal” PK/PD model outputs and visualizations for calibration. - Error Taxonomy: structured list of typical modeling or fitting errors, with root-cause annotations. - Meta-Layer Commentary: short note per rubric capturing how expert modelers recognize implausible or unsafe fits beyond numeric error values. ### Engagement Model & Compensation - Contract / part-time, remote, outcome-based deliverables.

Job Description POSITION: SOUS CHEF SALARY RANGE: $90,000 $100,000 per year POSITION PURPOSE: The Sous Chef works in coordination with the Executive Chef, and other line chefs to produce quality food in restaurant by following the standards and procedures established by the company. ESSENTIAL FUNCTIONS AND BASIC DUTIES: • In charge of the restaurant kitchen; elaborates and chooses all dishes for the menus as well as line up the menu prices in coordination with the floor management., • Responsible for managing in full the kitchen staff, as well as, the hot kitchen., • Implements high standards by consistently updating the recipes and food manuals., • Responsible for the supervision and coordination of activities of cooks and workers engaged in food preparation., • Responsible for training and supervising all fish and meat butchering operations., • Evaluates and solves procedural issues to ensure safe and efficient operations., • Hire, terminate and interview candidates for kitchen positions., • Prepares the weekly schedules, decides off days, etc. for the staff., • Inspects supplies, equipment, and work areas to ensure conformance to established standards of HACCAP and Safety., • Provides training to all kitchen staff to consistently upgrade the cooking skills, • Provides consistent training of the menu to all wait staff including management, especially regarding new dishes., • Records production and operational data on specified forms according to local regulations., • Oversees and ensures that all food to be served is up to the standards and quality required from the property and your superiors., • Checks, inspects and ensures the quality level of all daily food products delivered by the suppliers., • Responsible for daily prepped and non-prepped food inventory, including frozen, imperishable and fresh; and place food orders in cooperation with purchasing department as required., • Monitors sanitation practices to ensure that employees follow standards and regulations., • Teaches and instructs all staff in preparation, cooking, garnishing, and presentation of food., • Ensures all menus are constantly updated, paying special attention to seasonal availability., • Ability to be flexible and to jump in for aid, in any of the kitchen section according to the demands of the operation., • Regular attendance in conformance with the standards, which may be established from time to time, is essential to the successful performance of this position. Employees with irregular attendance will be subject to disciplinary action, up to and including termination of employment., • Due to the cyclical nature of the hospitality industry, employees may be required to work varying schedules to reflect the business needs of the organization. In addition, attendance at all scheduled training sessions and meetings is required. In addition to performance of the essential functions, this position may be required to perform a combination of the following supportive functions: • Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources., • Knowledge of raw materials, production processes, quality control, costs, and other techniques for maximizing the effective manufacture and distribution of goods. The individual must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of knowledge, skills, and abilities: • Must be able to read and write to facilitate the communication process., • Requires good communication skills in English, both verbal and written., • Ability to learn and perform all essential job functions accurately and safely., • Ability to walk, stand and continuously perform essential functions for an extended period of time., • The ability to perform tasks requiring bending, stooping, kneeling, and walking., • Auditory and visual abilities to observe and detect signs of emergency situations., • Most work tasks are performed indoors. Temperature is moderate and controlled by facility environmental systems., • Must be able to exert well-paced ability to reach other departments of the restaurant on a timely basis., • Must be able to lift trays weighing up to 50 lbs. on a regular and continuing basis., • Must be able to bend, stoop, squat and stretch to fulfill tasks., • Talking and hearing occur continuously in the process of communicating with guests, supervisors and other employees., • Vision occurs continuously with the most common visual functions being those of near vision and depth perception. Education: Bachelor’s degree in Culinary Arts preferred. Experience Required: Minimum of three years of relevant experience. Licenses or Certificates: Ability to obtain and/or maintain any government required licenses, certificates or permits. INTENT AND FUNCTION OF JOB DESCRIPTIONS All descriptions have been reviewed to ensure that only essential functions and basic duties have been included. Peripheral tasks, only incidentally related to each position, have been excluded. Requirements, skills, and abilities included have been determined to be the minimal standards required to successfully perform the positions. In no instance, however, should the duties, responsibilities, and requirements delineated be interpreted as all-inclusive. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Powered by JazzHR kiC6pTE99Q

Job Description A program senior leadership role responsible for the Admissions Department’s leadership, strategy, customers, analysis and knowledge management, workforce, operations and results. Serves as an Admissions standard, policies, procedures, and industry subject-matter expert and resource. Position structure • Develop nurse, liaison, program scheduler, and other admissions staff leadership skills through utilization of Admissions Training, coaching, mentoring, and modeling in remote and face-to-face interactions on weekly, daily, monthly, quarterly, and annual basis, and as-needed, • Collaborate with National, Division, Region, and Program leadership to successfully improve program performance, quality, and growth, • Responsible for program’s successful rollout and sustainability of national, divisional, and regional initiatives within their program, • Lead by example through field coaching, account development, and community activities, • Ensure Admissions Department has active and an actionable strategic plan documented in the system, • Develop a customer-service oriented Admissions Department by identifying and responding to the customer’s needs and wants by recognizing the customer is the center of VITAS business, • Review and provide guidance on program-related customer complaints., • Admissions-focused process improvement project management for the program, • Admissions Performance KPI (Can change based on national direction):, • Length of Intake/Same Day Admit, • Speed to Referral/Appointment, • Training Completion/Competency, • Program Scheduler Performance/Quality, • Program oversight and ensured adherence to standards and performance in the areas of:, • Training: Field Coaching, manage completion of required and ad hoc trainings, analyze need based on utilization of data tools, complete ongoing professional development, and is capable of group presentations (internal and external), • Staffing: Demand-based scheduling, productivity management, account development during working hours, and schedule creation, • Recruitment: Monitor and manage initiatives, regular evaluation of FTE efficiently and with efficacy, ensure timely posting and hiring, • Compliance with AM required duties as here and within training materials, • Audits: Daily, weekly, monthly, quarterly and annual, • Monthly program, region, division and national meetings, • 5+ years nursing preferred, • 3+ years in a leadership/management role preferred, • Hospice admissions experience preferred, • Ability to work on various assignments simultaneously, • Knowledge of industry policies and practices, • Ability to motivate and develop others, • Ability to communicate tactfully, both verbally and in writing, with program leadership, patients, families, managers, coworkers, and vendors to resolve problems and negotiate resolutions, • Proficient with technology with ability to adapt to new products and comfortable learning new technologies (i.e. Excel, MS Teams, OneNote, SharePoint, PowerBI, SharePoint, etc.), • Demonstrates experiences of developing strategies and solutions to improve Admissions performance, • Ability to assimilate and analyze large amount of data/information to uncover business, quality and training needs within a data set EDUCATION • Requires completion of accredited Nurse Practitioner program., • Competitive compensation, • Health, dental, vision, life and disability insurance, • Pre-tax healthcare and dependent care flexible spending accounts, • Life insurance, • 401(k) plan with numerous investment options and generous company match, • Cancer and/or critical illness benefit, • Tuition Reimbursement, • Paid Time Off, • Employee Assistance Program, • Legal Insurance, • Roadside Assistance

USA CIB Financial Planning & Analysis, Associate Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The CIB Financial Planning & Analysis, Associate manages one or more processes, projects, or procedures within the Financial Planning & Analysis functionality. The incumbent will provide well-analyzed and defined recommendations on process improvements while influencing others regarding the FP&A policies, practices, and procedures. • Develops, improves, independently manages one or more processes (reporting, projects, systems, procedures, or products) within the Financial Planning & Analysis structure., • Enhances the financial understanding of business lines, products and segments to aid reporting, forecasting and business decision making., • Influences others regarding FP&A process policies, procedures, and practices., • Recommends industry and peer data sources to enhance reporting with benchmarks to support business cases., • Coaches and reviews the work of lower level professional to help execute the financial management function., • Implements solutions to existing problems., • Delivers well-analyzed financial forecasts to support the businesses strategic direction and budget., • Informs and becomes informed via an exchange of facts, statuses, ideas, and issues., • Acts as subject matter expert providing functional and technical guidance to team., • Acts as a subject matter expert while providing leadership, guidance, and mentorship to other project managers. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Bachelor's Degree or equivalent work experience: Business Administration, Accounting and/or Economics or equivalent field - Required., • Master's Degree: Business Administration, Accounting and/or Economics - Preferred., • 5+ Years Financial Planning and Analysis in the Banking or Financial Services Industry - Required., • Excellent verbal and written communication skills. ., • Ability to convey a sense of urgency and drive issues/projects to closure., • Ability to prioritize and manage multiple projects simultaneously., • Ability to listen and interpret the requirements of internal clients, plan accordingly, and exceed expectations. ., • Strong financial analysis, modeling, and problem-solving. ., • Demonstrated financial modeling knowledge and skills with strong analytical, qualitative, and problem-solving skills. ., • Excellent interpersonal skills with ability to build relationships at all levels of management., • Excellent leadership skills. ., • Strong Proficiency in PowerPoint, Excel, Word. ., • Strong experience in and knowledge of financial planning and analysis. ., • Ability to multi-task and meet strict deadlines., • Ability to effectively communicate complex financial transactions and strategies., • Ability to effectively interact with the market, executive management and vendors., • Detail oriented with the ability to research, organize and analyze financial data. . Certifications: • No Certifications listed for this job. It Would Be Nice For You To Have: • Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education., • Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range Minimum: $80,625.00 USD Maximum: $135,000.00 USD Link to Santander Benefits: Santander Benefits - 2025 Santander OnGoing/NH eGuide (foleon.com) Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander 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, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs. Primary Location: New York, NY, Madison Ave Corp Other Locations: New York-New York Organization: Banco Santander S.A.

Traba is a technology company that enhances the productivity of the light industrial supply chain. We connect businesses with vetted workers to meet their staffing needs by leveraging location monitoring, predictive algorithms, machine learning, AI, computer vision, and other advanced technologies. Our mission is to empower both businesses and workers to reach their full productivity and potential. We’re proud to be backed by some of the world’s best investors, including Founders Fund, Khosla Ventures, and General Catalyst. We are seeking an experienced & entrepreneurial senior backend engineer to join the founding team to help build our backend services and platform. You'll partner with our CTO to help make key architectural decisions, iterate on the roadmap, own product decisions, and architect & build our foundational tech platform to enable scaling over the next several years. About You: * Voracious learner. You love diving into new areas and exploring new languages, databases, and technologies, and can discuss API design one minute and deployment infrastructure pipelines with tech leads the next. * Value clear communication. You recognize the importance of clear communication, documented planning, and transparent, frequent feedback. * Sweat the small stuff. You have strong opinions on design patterns, IDEs, tabs vs. spaces—you understand that how you do one thing is how you do everything, so you care about the details. * Deep experience building distributed systems. You have designed and built performant, scalable applications, and have expertise in developing APIs, data modeling, optimizing database queries, and scaling distributed systems. You Will: * Architect and lead the development of our applications, APIs, and distributed systems * Architect & document our tech platform and advise key product & infrastructure decisions * Implement our CI/CD workflows, using Docker & Github * Build analytics & monitoring to help understand our user experience & application health * Contribute in a ton of other ways to a scrappy founding team building the future of flexible light industrial staffing! You Have: * 5+ years experience with Typescript/___ or Python, RabbitMQ or Kafka, and PostgreSQL or equivalent * A track record of shipping scalable distributed systems * Experience building APIs * Experience with Docker, Github Actions, and Datadog * Experience working in an early-stage engineering team, working through ambiguity, and being a self-starter * A passion for helping people find meaningful work that works for them Benefits: * 📈 Start-up equity * 💰 Competitive Salary * 🩺 100% Paid health, dental & vision coverage * 🍽️ Dinner Provided via DoorDash, free DashPass & stocked kitchen for NY employees * 🚍 Commuter benefit * 🎤 Team building events * 🏋🏽 Gympass Benefit * 🌴 Flexible PTO * ✚✚ Additional: One Medical Membership, Gympass, HSA via Optum, Talkspace, HealthAdvocate, Teledoc Health The compensation range for this position is set between $160,000 and $190,000, reflecting our market analysis and other relevant considerations. However, exceptions may be made for candidates with qualifications that significantly differ from those outlined in the job description. Traba is dedicated to promoting Equal Opportunity employment practices. We evaluate all applicants without discrimination based on race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other characteristics that are legally protected by local, state, or federal regulations. We encourage applicants from a variety of backgrounds, experiences, and skill sets. Dream Big - We are on a path to change the world for the better. We create and communicate a bold direction that inspires a life-changing vision. We don’t sacrifice long-term value for short-term results. Olympian’s Work Ethic - Changing the world never comes easy. We work harder, longer, and smarter, not just two out of three. We put everything we have on the field. Growth Mindset - We confront the toughest challenges head-on and persevere. Sometimes we fail, but we brush ourselves off, adapt, learn, and push forward with resilience. Customer Obsession - We go the extra mile for our workers and businesses. We remain focused on delivering high-quality products and services that solve this massive and overlooked industries’ problems Light industrial flexible staffing is a $50B labor market that encompasses entry-level jobs in warehouses & distribution centers. These workers pack boxes, load trucks, and manage warehouse operations to keep supply chains running at peak efficiency.

A company is looking for a Vice President of Planning and Modeling. Key Responsibilities Drive growth in new and existing markets through a data-informed strategy Integrate strategies into business plans that motivate teams and monitor performance Build and lead a strong, adaptable consulting te

A company is looking for a VP of Data and AI. Key Responsibilities Define and drive the long-term roadmap for the data ecosystem, including ingestion, modeling, and governance Build and lead a team across Data Engineering, Analytics Engineering, and future Data Science/ML Engineering Architect d

A company is looking for a Research Scientist II, Market Access.Key Responsibilities Design and implement advanced Excel-based models for forecasting and scenario planning Lead the creation of tools for data extraction, visualization, and reporting Mentor junior analysts in modeling techniques a

Job Title: Board Certified Behavior Analyst (BCBA) Company Overview: Join our passionate team dedicated to empowering individuals with diverse abilities to achieve their full potential. We are a leading provider of applied behavior analysis (ABA) services committed to delivering high-quality, individualized support to children with autism spectrum disorder (ASD) and other developmental disabilities. As a Board Certified Behavior Analyst (BCBA) with our organization, you will play a key role in designing and implementing behavior intervention programs, training caregivers and staff, and promoting positive behavior change within our supportive community. Position Overview: We are seeking a highly skilled and compassionate Board Certified Behavior Analyst (BCBA) to join our team. The successful candidate will utilize their expertise in applied behavior analysis to assess, develop, and oversee individualized treatment plans for clients, collaborating closely with families, caregivers, and interdisciplinary teams to promote meaningful outcomes. The BCBA will provide direct supervision and training to behavior technicians, ensuring the delivery of effective, evidence-based interventions that enhance the quality of life for individuals with autism and related disorders. Responsibilities: • Conduct functional behavior assessments (FBAs) and develop comprehensive behavior intervention plans (BIPs) based on the principles of applied behavior analysis (ABA)., • Design and implement data collection systems to monitor client progress, analyze data, and make data-driven decisions to modify intervention strategies as needed., • Provide direct supervision and training to behavior technicians and other team members, including modeling techniques, providing feedback, and conducting performance evaluations., • Collaborate with families, caregivers, educators, and other professionals to establish individualized goals and support plans for clients across home, school, and community settings., • Deliver direct intervention services to clients as needed, including conducting therapy sessions, teaching functional skills, and implementing behavior management strategies., • Master's degree (or equivalent) in Applied Behavior Analysis., • Board Certified Behavior Analyst (BCBA) certification in good standing., • Excellent communication and interpersonal skills, with the ability to collaborate effectively with clients, families, caregivers, and interdisciplinary teams., • Commitment to maintaining high ethical standards, professionalism, and confidentiality in all aspects of work.

Job Title: Board Certified Behavior Analyst (BCBA) Company Overview: Join our passionate team dedicated to empowering individuals with diverse abilities to achieve their full potential. We are a leading provider of applied behavior analysis (ABA) services committed to delivering high-quality, individualized support to children with autism spectrum disorder (ASD) and other developmental disabilities. As a Board Certified Behavior Analyst (BCBA) with our organization, you will play a key role in designing and implementing behavior intervention programs, training caregivers and staff, and promoting positive behavior change within our supportive community. Position Overview: We are seeking a highly skilled and compassionate Board Certified Behavior Analyst (BCBA) to join our team. The successful candidate will utilize their expertise in applied behavior analysis to assess, develop, and oversee individualized treatment plans for clients, collaborating closely with families, caregivers, and interdisciplinary teams to promote meaningful outcomes. The BCBA will provide direct supervision and training to behavior technicians, ensuring the delivery of effective, evidence-based interventions that enhance the quality of life for individuals with autism and related disorders. Responsibilities: • Conduct functional behavior assessments (FBAs) and develop comprehensive behavior intervention plans (BIPs) based on the principles of applied behavior analysis (ABA)., • Design and implement data collection systems to monitor client progress, analyze data, and make data-driven decisions to modify intervention strategies as needed., • Provide direct supervision and training to behavior technicians and other team members, including modeling techniques, providing feedback, and conducting performance evaluations., • Collaborate with families, caregivers, educators, and other professionals to establish individualized goals and support plans for clients across home, school, and community settings., • Deliver direct intervention services to clients as needed, including conducting therapy sessions, teaching functional skills, and implementing behavior management strategies., • Master's degree (or equivalent) in Applied Behavior Analysis., • Board Certified Behavior Analyst (BCBA) certification in good standing., • Excellent communication and interpersonal skills, with the ability to collaborate effectively with clients, families, caregivers, and interdisciplinary teams., • Commitment to maintaining high ethical standards, professionalism, and confidentiality in all aspects of work.

Unlock opportunities for professional advancement & skill development. A well-established P&C client is looking for a data scientist with at least 7 years of predictive modeling experience. In this key technical position, you will design and build pricing & underwriting models, oversee end-to-end model development, and own data management for the modeling function. The ideal candidate will have a P&C insurance background, preferably in personal property pricing or commercial lines property. Must have strong collaboration skills, hands-on modeling experience with large-scale datasets, and expertise in SQL, R, or Python. (#57997) Compensation: • Salary range of $110-160K Locations:, • Remote, • Kingston, NY

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description The Associate Director will bridge Market Access and Patient Services (MAPS) Team within APEX and BESD (Business Evolution Strategic Development) team objectives by leading modelling, advanced insights and analytics supporting forward-looking strategies, enabling enterprise readiness, and shaping market access policies and outcomes for AbbVie’s diverse U.S. portfolio. This role requires a strong grasp of healthcare policy, payer analytics, and strategy formulation within a collaborative, cross-functional environment. Key Responsibilities: • Lead the planning and execution of analytics to inform market access strategies, price reform and policy analysis, with actionable recommendations for AbbVie leadership., • Identify payer opportunities/threats through deep dive analytics ('Follow the Dollar', claims analysis, and scenario modeling)., • Foster positive relationships and close collaboration with teams including Government Affairs, Finance, Legal, Corporate Affairs, Brand, and Market Access., • Communicate complex findings and insight-driven narratives to senior leadership and cross-functional teams, enabling improved payer knowledge and strategic decision-making., • Monitor external environment and translate emerging trends (political, regulatory, legislative, commercial) into strategic recommendations for AbbVie’s business evolution., • Action and Accountability: Own responsibility for activities within relevant workstreams, and engage and inspire cross functional stakeholders to advance towards clear objectives and strategies; make quick, but informed decisions, as appropriate, to ensure best paths forward in the midst of change market and policy dynamics. Constantly engage, guide, and support cross-functional team to address roadblocks, challenges, resourcing constraints and other dynamics., • Leadership and Influence: Influence and persuade across multiple external and internal stakeholders., • Collaboration and Teamwork: Work effectively with internal stakeholders, external market experts and partners.Qualifications, • Bachelor’s degree required; master’s degree (MBA or related business/science) preferred., • 10+ years of progressive analytical/ insights experience in healthcare industry (pharma, consulting, government affairs, market access, public policy, etc.)., • 1-2 years pharmaceutical market access experience with deep understanding of Health Plans, PBMs, Hospitals, Specialty Pharmacies, and healthcare policy stakeholders. Strong insurance channel experience and understanding (i.e. Medicare, Commercial etc.), • Strong business acumen, strategic and analytical thinking, and executive presence., • Exceptional communication and influencing skills, with the ability to distill complex information into compelling, concise messages., • Experience in policy shaping, price reform strategy, and enterprise-level stakeholder partnership., • Proficiency with pharmaceutical data sources (formulary, claims). Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

A company is looking for a Senior Data Scientist specializing in Healthcare Analytics & AI.Key Responsibilities Apply advanced statistical modeling techniques to healthcare data for predictive and prescriptive analytics Develop time series models for forecasting and anomaly detection in longitudi

Key Responsibilities Lead the architecture and design of a scalable data warehouse solution using GCP and Snowflake Develop and optimize data pipelines, ETL processes, and integrations for large, complex datasets Define data modeling standards, governance practices, and performance tuning strate

Key Responsibilities Design and implement growth strategies, including modeling targets and defining the sales funnel Analyze performance data to inform decisions and enhance the sales process Collaborate with cross-functional teams, including Sales, Marketing, Product, and Finance, to execute g