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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.

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 Role We are seeking a highly skilled and technically driven individual with deep expertise in blockchain engineering and applied data science to join Fidelity Digital Asset Management. This role is ideal for a hands-on expert who thrives in architecting and deploying advanced blockchain solutions, smart contracts, and quantitative models that support Research, Trading, Risk, and Operations. You will serve as a senior technical authority, driving innovation and ensuring the robustness of our digital asset infrastructure. Key Responsibilities * Architect and oversee the development of blockchain-based systems and smart contracts across EVM, Solana, and Cosmos SDK platforms. * Lead technical design and implementation of crypto infrastructure, including secure deployment pipelines, testing frameworks, and audit processes. * Collaborate with quant researchers and data scientists to integrate blockchain data into predictive models, optimization engines, and trading algorithms. * Conduct deep technical reviews and audits of smart contracts, ensuring security, scalability, and compliance with DeFi standards. * Evaluate and implement emerging technologies, protocols, and tooling to enhance Fidelity’s digital asset capabilities. * Serve as a technical liaison across engineering, trading, and risk teams to ensure seamless integration of blockchain systems into core workflows The Expertise and Skills You Bring * 4+ years of hands-on experience in blockchain engineering, smart contract development, or crypto infrastructure, with a strong track record of technical delivery. * Deep understanding of EVM/SVM architecture, token standards (ERC-20, ERC-721, SPL), and DeFi primitives. * Proficiency in multiple programming languages including Python, Solidity, and JavaScript/TypeScript. * Experience with smart contract frameworks and tools such as Hardhat, Truffle, OpenZeppelin, Mythril, and Ganache. * Strong background in quantitative modeling, data science, or financial engineering, with experience applying models to trading or risk systems. * Proven ability to lead complex technical projects and mentor senior engineers in a collaborative, high-performance environment. The Team Fidelity Digital Asset Management [FDAM] is building an investment platform offering digital asset products and services designed to meet the growing needs of Fidelity’s retail customers and intermediary and institutional clients. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services. Project examples include integration of vendor infrastructure, constructing models or tools, building automation across technologies, and portfolio or business analytics. As a hands-on team lead you will be expected to understand the function needs to both meet the expected outcome and continue to drive innovation The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Data Analytics and Insights

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 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 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 Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 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 * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 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 Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. 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 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).

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).

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 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 (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).

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).

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 Description About Us: Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. DV Commodities is a division within DV Group that specializes in trading commodities markets, including crude oil, refined products, natural gas, power, emissions, metals, softs, and agriculture. DV Commodities risk management, world-class technology, and talented traders have enabled it to become one of the world's largest liquidity providers and risk allocators in the energy and commodities spaces. Learn more here. Responsibilities: • Primary owner of P&L in one or multiple areas of energy business, • Build and maintain fundamental and quantitative trading models, • Work with risk to ensure compliance with agreed upon risk management metrics and sizing, • Liase side by side with senior energy traders to share best practices / learnings where applicable, • Learn proprietary methodologies and trading systems that support an established trading business, • Grow existing trades and P&L while identifying and pursue new opportunities, • Further responsibilities may be driven by the individual's interests and specific skills Requirements: • Energy trading experience required, • Self-starter with entrepreneurial spirit, • Able to learn quickly in a fast paced, high pressure environment, • Targeted ISO experience and knowledge of fundamental grid, • Detail oriented, organized, diligent, • Maintain composure and communicate clearly when under pressure, • Ability to succeed working as part of a diversified team, • Strong understanding of math, probability, and statistics, • High level of proficiency in Excel and VBA; SQL, python, statistical modeling, other programming a plus, • Advanced aptitude for problem solving and multitasking, • Proven track record with historical P&L preferred Benefits: • Discretionary bonus eligibility, • Medical, dental, and vision insurance, • HSA, FSA, and Dependent Care options, • Employer Paid Group Term Life and AD&D Insurance, • Voluntary LTD, Life & AD&D insurance, • Flexible vacation policy, • Retirement plan with employer match, • Paid parental leave, • Wellness Programs Annual compensation range: $120 – $175K + discretionary bonus eligibility DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

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 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.

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).

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).

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.

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.

Job Description Building a Brand Starts with a Story FIRST is a leading global brand experience agency serving clients in various industries, including financial services, technology, new & traditional media, aerospace, healthcare, and professional services. FIRST has received numerous accolades, including being listed among the 2025 Most Innovative Marketing Agencies of the Year by Chief Marketer, named Top Agency of the Year 2024 by Event Marketer, highlighted as a Global Agency of the Year, over 100 Employees by C&IT, and listed among the "200 Top Marketing Agencies" in 2024, 2023, & 2022 by Chief Marketer. Learn more at Location: New York City (in office requirement - hybrid 2 days a week in FIRST NY office) What You Would Get To Do: We're seeking a detail-oriented and commercially minded Commercial Operations Manager to help drive the financial and operational success to assigned accounts or teams. In this role, you'll turn commercial strategy into clear processes and insights, equipping delivery teams with accurate reporting, guidance, and operational frameworks that support profitability and scope alignment. This role will collaborate closely with Finance, Data & Analytics, and Account Directors to ensure compliance, maintain service-based pricing structures, and identify risks or opportunities. This is an ideal role for someone with strong financial acumen, a data-driven mindset, and the ability to connect day-to-day delivery with big-picture business goals. Your Contributions Commercial Advisory • Maintain accurate reporting for the dedicated account(s), including utilization, margin analysis, hours charged vs forecast, and resource allocations., • Conduct variance analysis, monitor utilization trends, and provide actionable recommendations., • Advise on resourcing, scope design, and pricing strategies to meet margin, utilization, and forecast targets; interpret operational data to flag risks such as scope creep, overutilization, and under-billing; and recommend guardrails to mitigate co-employment and other operational risks., • Identify potential risks to commercial performance and recommend mitigation strategies., • Assist in tracking commercial KPIs such as forecast vs. actual hours, delivery profitability, and adherence to rate cards providing analysis and recommendations., • Participate in staffing and resource planning discussions, ensuring alignment with commercial objectives and capacity models., • Support delivery teams in applying rate cards, time tracking standards, and project classification guidelines., • Partner with Client Finance to align billing and revenue processes with account requirements., • Partner with account and FIRST Leadership and Client Services, ensuring real-time visibility into capacity, scope changes, and potential commercial impact., • Coach delivery managers on commercial best practices, time tracking discipline, and scope management., • Facilitate delivery team training workshops ensuring clarity on time tracking procedures and standards., • Communicate guidelines, deadlines, and expectations clearly, effectively, and consistently to ensure team alignment and accountability for service based pricing., • Ensure the team is operating according to established rules, standard operating procedures (SOPs), and rules of engagement to maximize revenue and project success., • Assist with tracking and reporting year-over-year (YOY) comparisons for utilization increase, hours charged, and profitability metrics to measure progress., • Minimum of 10+ years of experience in commercial operations, finance, or business operations (agency, consulting, or professional services preferred), • Bachelor's Degree preferred, • Strong financial acumen including forecasting, variance analysis, and pricing strategy, • Understanding of event planning and operational workflows is highly desirable, • Proficient in Microsoft Office and capable of quickly adapting to new systems and tools., • Advanced Excel skills (pivot tables, VLOOKUP, financial modeling); BI tools experience preferred, • Excellent written and verbal communication skills, with ability to engage senior stakeholders, • Highly collaborative, adaptable, and able to navigate a matrixed environment, • Strong analytical and problem-solving skills, translating complex data into actionable insights, • High degree of organization, prioritization, and time management skills, • Medical, Dental & Vision which includes the option of a high deductible health plan (HDHP) with a health savings account (HSA), • 401 (k), • Five Flexible Spending Accounts Options, • Generous Paid Time Off Allowance, • Employee Assistance Program (EAP), • Life, Disability & Pet Coverages, • Wellness Stipend, • Mobile Phone Allowance, • Complimentary access to Headspace, Teladoc, Maven, Rocket Lawyer, Mobilo & more, • Aura Identity Theft Protection, • Discretionary Bonus Structure #LI-KM3 FIRST is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. FIRST is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We stand firm: FIRST will not tolerate discrimination or harassment based on any of these characteristics. If any candidate feels that they are unable to meet the requirements of the role, please get in touch to discuss adjustments or other suitable roles.

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 Manager, Commerce Media Manager, Commerce Media Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Within Mastercard Services, our Customer Acquisition & Engagement business drives profitable business growth and maximizes customer lifetime value by transforming routine interactions into lasting relationships. We leverage our unique advantages in data, personalization, incentives, and optimization, in addition to our global expertise and scale, to efficiently acquire high value new customers, drive engagement and desired behaviors, and build customer loyalty. We are looking for a Manager for our newly launched Commerce Media business, a new media network enabling advertisers to provide highly targeted offers and ads to consumers through publishers. Commerce Media is one of our fast-growing businesses within this group at the intersection of commerce, data and digital experiences, focused on performance oriented solutions. Responsibilities: • Identify, pitch, contract, and onboard potential partners like such as digital players, SSPs, etc. working with internal partners (e.g. sales, account teams) to grow reach., • Develop pricing strategies, build business cases, sizing analysis, and customer deal terms, • Create and manage partner agreements and contracts., • Monitor and analyze partner performance metrics and via reporting, • Build strong relationships with partners through communication and collaboration., • Serve as a link between partners and internal teams to ensure partners to drive mutual growth and success., • Stay updated on industry trends and competitor strategies to refine the program., • Create and implement strategic partnership plans and targets., • MUST be from Media, Advertising, ad-tech, martech or digital media – supply side preferable, ideally within both high-growth environments and large, matrixed enterprises, • Proven experience in partnerships and program management, • Deep understanding of marketing technology ecosystems, including supply side platforms or publishers, ad serving, audience and targeting, and performance optimization tools, • Experience in developing business requirements and engaging with technical teams, • Strong analytical, modeling, and problem-solving skills., • Excellent communication and interpersonal skills., • Ability to work independently and as part of a team., • Strong organizational skills and attention to detail. 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. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges New York City, New York: $156,000 - $265,000 USD

Principal Associate, Ontology and Data Modeling- Retail Bank The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. 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 enterprise initiatives. The Principal Associate of Ontology and Data Modeling will be responsible for partnering within the Retail Bank and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities • Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development, • Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies, • Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business., • Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, • Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment, • Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning, • Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL, • Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One, • Test/troubleshoot new or updated models and systems, • Manage and oversee other projects as assigned by Product Owners and Supervisors Role-Based Competencies • Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges, • Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they’re doing what they’re doing. You always can rally associates to work with you, • Do-er. You’re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You’re well organized, able to multitask and able to prioritize your work, • Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs, • Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help, • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships Basic Qualifications • Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics, • At least 3 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics, • At least 3 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, or SKOS), • At least 3 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World), • At least 3 years’ experience or training with SQL or SPARQL Preferred Qualifications • Master’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics, • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data, • Familiarity with graph databases and technologies, • Familiarity with Python or R, • Familiarity with JSON, OpenAPI/YAML, AVRO, • Familiarity with Agile principles, processes, and methodologies, • Familiarity with Amazon Web Services, • Strong project management experience At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is hybrid meaning associates spend about half their time (3 days per week) in-person at one of our offices listed on this job posting. 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: $127,500 - $145,500 for Principal Associate, Ontology and Data Modeling New York, NY: $139,100 - $158,700 for Principal Associate, Ontology and Data Modeling Wilmington, DE: $115,900 - $132,200 for Principal Associate, Ontology and Data Modeling 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 DescriptionSalary: About Financial Edge Do you have a passion for finance? Do you enjoy explaining financial concepts and helping individuals? Then read on. Financial Edge specializes in developing the technical skills of finance professionals through a combination of classroom training and eLearning products. Chosen by the worlds top investment banks to deliver their new hire training from interns to associates, last summer alone we taught over 9,000 participants across 4 continents. We are a small, friendly and ambitious team, bringing multi-format content design for unparalleled participant engagement in and out of the classroom. We focus on equipping participants with hands-on practical skills. All of our training, be it live or e-delivered, is centered around case studies and client-specific solutions. The integration of technology into every program helps to create individualized learning paths, taking participants experience and desk needs into account. Job Description Teaching Assistants provide support to the Instructor and participants on entry level programs from interns to associates. All our case studies and workouts have worked solutions. Teaching Assistants work with us through consultancy agreements and are most engaged during our busy season from June through the end of August.Teaching Assistant commitments last one to three weeks at a time and successful applicants will need to be available full-time during these commitments. Main Responsibilities • Support a lead training instructor in a class of 50 150 new hires, • Assist students work through helping with case studies, individual questions and with homework, • Identify and coach struggling students, • Invigilate and debrief exams, • Collate qualitative feedback on participants, • Provide support and feedback to the Account Management Team, • Run small group sessions to solve problems of understanding, • Host evening review sessions independently Essentials • Financial services sector experience (banking, consulting or accounting), • Proficient in financial modeling and valuation methodologies as well as Excel, • Strong analytical skills, • A passion for finance, • Good communication and organization skills essential Daily rate is commensurate with experience

Lead Quant Credit Strategist Credit Research & Advanced Analytics New York, NY or Boston, MA The Opportunity As a strategist, you’ll be responsible for providing quantitative investment insights on MassMutual’s private credit investments, leveraging both third party tools and proprietary models. The role overtime will grow to even greater responsibility in shaping MassMutual’s investment allocation, products pricing, and ALM. The Team The immediate team is composed of quantitative developers and strategists with proclivity for solving both technical and business problems. The team is part of the larger R&D group within Investment Management overseeing the General Investment Account. The team is very hands-on and proactive about engaging new ideas and challenges. The Impact You will provide analytic and investment insights on the private credit book and other illiquid assets to influence portfolio managers' allocation decisions. You will drive value-add thought leadership to asset allocators and corporate stakeholders on quant credit and high-impact projects, enhancing and protecting net investment income. Collaborate closely with portfolio managers on deals, offering a quantitative view on risk and due diligence. Develop statistical models for risk assessment and asset performance forecasting, leverage alternative data for investment insights, quantify cashflow uncertainty on deals, develop a security master for private assets, and estimate spread duration and the value of embedded options on deals. The Minimum Qualifications • 10+ years working in financial services as a strategist, portfolio manager, or risk manager, • Bachelor’s in a technical field, • Deep knowledge of the private credit markets, including but not limited to middle market loans, portfolio funding, real estate, and ABS, • Experience working on private market deals as a stakeholder, • Capability in developing and applying statistical and econometric models, • Experience with working with imbalanced data, • Knowledge of accounting and regulatory regimes, • Excellent communication skills explaining complicated quantitative concepts to nontechnical stakeholders and influencing portfolio managers, • Experience in providing requirements to developers and managing project from development to production, • Python scripting proficiency and data visualization The Ideal Qualifications • Master’s degree in financial engineering, statistics, machine learning, econometrics or similar disciplines, • Experience structuring private ABS deals, • Knowledge of the CLO, public ABS, middle market loans, BSLs, and HY corporates, • Relevant certifications: CQF, CFA, ARPM, FRM, PRM, or CAIA, • Knowledge of Python’s analytic and statistical modeling package ecosystem, • Intex and/or other cashflow engines, • Commercial risk models What to Expect as Part of MassMutual and the Team • Regular meetings with 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 business with industry leading pay and benefits #LI-LC1 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.

Transaction Analysis Lead Treasury and Capital Management Full-Time Boston, MA, New York, NY or Springfield, MA The Opportunity As the Transaction Analysis Lead, you will work in a fast paced, innovative and collaborative environment ideating, analyzing and executing strategic transactions benefitting the long-term financial strength and flexibility of MassMutual. This role will have the opportunity to work with the Head of Rating Agency Relations and Transaction Analysis on key finance initiatives: • Apply understanding of life insurance/annuity products, risk management, and capital frameworks to drive strategic transaction analysis and recommendations, • Ideate and execute capital markets and balance sheet optimization transactions that improve MassMutual’s financial performance, balancing capital adequacy, liquidity, financial flexibility, and earnings strength, • Advise the executive team on key strategic initiatives and sales priorities, including impacts to statutory and economic capital, rating agency metrics, and long-term profitability The Team The Transaction Analysis Lead is a member of the Treasury organization which is a dynamic team of individuals with diverse backgrounds that are focused on: • Maintaining a balance between high and sustainable returns for policyholders, and a strong financial strength position, while enabling MassMutual to take advantage of growth opportunities; all while maintaining within internal, regulatory and rating agency constraints, • Minimizing time spent on production and data manipulation activities by transforming our modeling, analytic, and reporting capabilities and implementing automation and technology where possible The Impact This role will help drive strategic decisions around our use and consumption of scarce resources and solutions, as part of the Treasury organizations financial stewardship role, and deliver analysis to inform strategic decision-making: • Identify and evaluate business and strategic opportunities, across financial, risk, and strategic views and with internal and external parties, • Lead transaction analysis considering rating agency, regulatory, and economic lenses, including M&A, capital markets, and reinsurance transactions, • Lead capital markets and balance sheet management transactions from ideation to execution The Minimum Qualifications • BS in accounting, finance, business, actuarial science or a related field, • 10+ years of progressive experience in financial roles, including capital management, product pricing (retail and/or institutional insurance products), or enterprise risk management, etc., • Strong multi-tasking skills and ability to adapt to change, • Ability to proactively take ownership of projects and drive them through to completion, • Ability to perform independent research, identify valuable transaction opportunities, and deliver analyses and recommendations to senior management, • Strong desire to “roll-up sleeves” The Ideal Qualifications • Experience in capital management, actuarial pricing, hedging and/or M&A/reinsurance transaction analysis, • Expertise in structuring transactions to balance rating agency, regulatory capital, tax, accounting, and economic considerations, • Knowledge of statutory, rating agency, and economic capital frameworks, • Knowledge of US GAAP and statutory accounting, • Experience leading cross-functional projects with competing constraints through to success, • Experience influencing senior management on strategic decisions, • Detail-oriented with demonstrated oral and written communication skills What to Expect as Part of MassMutual and the Team • Regular meetings with the Treasury and other Financial Planning & Analysis teams, • Focused one-on-one meetings with your manager, • Access to a collaborative network within the team with connected objectives, • 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 California Consumer Privacy Act Disclosures page.

Job Description Role Overview Mercor is partnering with a cutting-edge AI research initiative to generate high-quality Excel-based training data for financial modeling. We’re seeking experienced finance specialists with deep Excel expertise to help synthesize realistic, structurally complex spreadsheets across key financial domains. This short-term, project-based engagement offers a unique opportunity to contribute domain knowledge to frontier model development. Key Responsibilities * Design and write detailed prompts for generating complex financial Excel models * Review and refine AI-generated spreadsheets for structural integrity and formula accuracy * Ensure financial logic, dynamic formulas, and input-calculation separation are correctly implemented * Contribute models such as amortization schedules, lease accounting (ASC 842), bank reconciliations, and fixed asset rolls * Deliver fully functional, formula-dense Excel files that meet rigorous quality standards * You will be given access to State-of-the-Art AI Agent that help you created advanced excels!! Ideal Qualifications * 3+ years of experience in accounting, audit, or financial reporting * Strong proficiency in Microsoft Excel, including complex formulas, modeling, and spreadsheet architecture * Meticulous attention to detail and ability to verify mathematical and structural accuracy * Experience creating or auditing Excel models used in professional settings More About the Opportunity * Remote and asynchronous — contributors set their own schedule * Expected time commitment: ~10h/week * Project duration: 1 week (with possibility for extension) * Target volume: 20 unique, high quality Excel files in 1 week. Compensation & Contract Terms * $70/h * Payments issued weekly for accepted deliverables * Independent contractor arrangement Application Process * Submit your resume to express interest * Candidates may be asked to complete a short Excel task as part of the evaluation 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 law, engineering, finance, and research have joined Mercor to work on frontier projects shaping the next era of AI

Corporate Transactions and Investments Lead Treasury and Capital Management Full-Time Boston, MA, New York, NY or Springfield, MA The Opportunity As the Corporate Transactions and Investments Lead, you will work in a fast paced, innovative and collaborative environment ideating, analyzing and executing strategic transactions benefitting the long-term financial strength and flexibility of MassMutual. This role will have the opportunity to work with the Head of Rating Agency Relations and Transaction Analysis on key finance initiatives: • Review performance and allocation of MassMutual’s corporate investment account, including liquidity, investment allocation, and returns, against expectations and investment guidelines, • Review performance of seed capital investments of MassMutual, including return on capital and tracking against the expected timelines for returning seed funding, • Advise the executive team on key strategic investments and sales initiatives on the impact to MassMutual, including impacts to the CIA, statutory and economic capital, and long-term profitability, • Provide comprehensive analysis to executive team on M&A, reinsurance, and debt capital markets opportunities The Team The Corporate Transactions and Investments Lead is a member of the Treasury organization which is a dynamic team of individuals with diverse backgrounds that are focused on: • Understanding actual and projected trends of regulatory capital, operating liquidity, financial flexibility and earnings levels so that they may develop strategies to improve financial performance to support maximizing value, • Being expert at various capital frameworks and serving as an advocate for the Company in various industry or internal groups, • Minimizing time spent on production and data manipulation activities by transforming our modeling, analytic, and reporting capabilities and implementing automation and technology where possible The Impact This role will help drive strategic decisions around the allocation and expected returns of MassMutual’s surplus investments, as part of the Treasury organization’s financial stewardship role, and deliver analysis to inform strategic decision-making: • Responsible for refreshing, oversight and compliance of MassMutual Corporate Investment Account (CIA) investment guidelines, including regular reporting, policy compliance testing, projections, recommending risk mitigation strategies working with Investment Management and Enterprise Risk Management, • Provide valuable insights to corporate development, reinsurance development, and business partners on use of our surplus assets, • Collaborate with financial planning and analysis colleagues to project and analyze CIA balance sheet and income statement, • Establish, enhance and maintain internal controls and consistently improve upon a strong control environment The Minimum Qualifications • BS in accounting, finance, business, actuarial science or a related field, • 10+ years of progressive experience in finance, investment, or actuarial roles, including capital management, product pricing (retail and institutional insurance products), or enterprise risk management, etc., • Strong multi-tasking skills and ability to adapt to change, • Ability to proactively take ownership of projects and drive them through to completion, • Ability to perform independent research, collaborate with partners in investments and enterprise risk management, and deliver analyses and recommendations to senior management The Ideal Qualifications • FSA or career ASA, • Experience in capital management, actuarial pricing, hedging and/or M&A/reinsurance transaction analysis, • Experience balancing rating agency, regulatory capital, tax, accounting, and economic considerations, • Knowledge of US GAAP and statutory accounting, • Experience leading cross-functional projects with competing constraints through to success, • Experience working in a Finance transformational setting; driving change and managing competing priorities, • Detail-oriented with demonstrated oral and written communication skills What to Expect as Part of MassMutual and the Team • Regular meetings with the Treasury and other Financial Planning & Analysis teams, • Focused one-on-one meetings with your manager, • Access to mentorship and development opportunities, • Access to a collaborative network within the team with connected objectives, • 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 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 California Consumer Privacy Act Disclosures page.

Analytical Foundation: 4-8+ years of relevant experience managing OpEx in corporate finance, FP&A, strategic finance, or a related analytical field with strong financial modeling skills. We ensure the company's resources are deployed effectively, providing the data-driven guidance that fuels our gro

The Opportunity Join our dynamic team as a Data Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in driving the execution of our data and technology strategy. This role is crucial in driving digital transformation and operational efficiency across Investment Management. As part of this role, you will engage in building data solutions including streaming and batch pipelines, data marts & data warehouse. You will be responsible for establishing robust data collection and processing pipelines to fulfill Investment Management business requirements. The Team You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Data Engineer, you'll play a critical role in high impact Corporate Technology Investment Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with Corporate Technology Data and Analytics team and Investment management business stakeholders. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: • Design, build, and measure complex ELT jobs to process disparate data sources and form a high integrity, high quality, clean data asset., • Executes and provides feedback for data modeling policies, procedure, processes, and standards., • Assists with capturing and documenting system flow and other pertinent technical information about data, database design, and systems., • Develop comprehensive data quality standards and implement effective tools to ensure data accuracy and reliability., • Collaborate with various Investment Management departments to gain a better understanding of new data patterns., • Collaborate with Data Analysts, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals., • Translate high-level business requirements into detailed technical specs. The Minimum Qualifications • Bachelor’s degree in Computer Science, Engineering, Information Systems or related technical field., • 8+ years of experience with data analytics, data modeling, and database design., • 5+ years experience with ELT methodologies and tools., • 5+ years experience in designing, developing, tuning and troubleshooting SQL., • 3+ years of coding and scripting (Python, Java, Scala) and design experience., • 2+ years of experience with Spark framework. The Ideal Qualifications • Knowledge of Informatica Power center and Informatica IDMC., • Knowledge of distributed, column- orientated technology to create high-performant database technologies like - Vertica, Snowflake., • Strong data analysis skills for extracting insights from financial data, • Proficiency in reporting tools (e.g., Power BI, Tableau)., • Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing., • Familiarity with regulatory requirements and compliance standards in the investment management industry., • Experience with IBOR’s such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart., • Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion., • Strong analytical and problem-solving abilities., • Exceptional communication and interpersonal skills., • Ability to influence and motivate teams without direct authority., • Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. #LI-RK1 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.

Strategic Treasury Partner Full-Time Boston, MA, Springfield, MA, or New York, NY The Opportunity As a Strategic Treasury Partner, you will work in a fast paced, innovative and collaborative environment, to expand our credit/financing and liquidity opportunities, as well as actively collaborate with the Treasury team responsible for the management of MassMutual’s capital, liquidity, and financial flexibility. This role will also involve building out our existing reporting and forecasting capabilities to enhance the company’s leverage and liquidity management. The Strategic Treasury Partner will have the opportunity to: • Contribute to analysis that will elevate strategic Liquidity and Debt Management decision making, • Improve modeling tools and reporting capabilities for liquidity forecasts and intercompany and external debt, • Lead efforts to optimize efficiency of processes and advance analytical analysis The Team This role will report directly to the Head of Debt Financing and Liquidity and will be a member of the Balance Sheet Management team within the Treasury organization. The team is a dynamic team of individuals with diverse backgrounds that are focused on evaluating actual and projected trends in levels of capital, liquidity, and credit so that they may develop strategies to improve financial performance and conditions. The Impact Your work will provide insights to enable strategic decisions made to optimize liquidity and ensure financial stability, operational efficiency, strategic flexibility and risk mitigation. You will accomplish that through the responsibilities listed below: Liquidity Forecasting and Management: • Review investment commitments, in collaboration with Investment Management team, • Perform sensitivity analytics to Operating Liquidity forecasts, • Conduct forecast variance analysis to enhance accuracy, • Lead execution of subsidiary funding transactions, • Execute transactions for internal and external debt; maintain calculation of interest expense, • Partner with team to manage the trade finance portfolio, • Support debt portfolio optimization project Optimization Projects: • Minimize time spent on production and data manipulation activities by transforming our modeling, analytic, and reporting capabilities and implementing automation and technology where possible, • Lead additional analytic projects including subsidiary liquidity management, • Monitor changes in treasury regulations, industry trends, and best practices to ensure compliance and provide informed recommendations The Minimum Qualifications • 5+ years of experience in a financial role with exposure to accounting, cash operations, liquidity management and/or debt financing, • Bachelor's Degree The Ideal Qualifications • Advanced exposure to financial modeling, including accounting and treasury capital transactions, • Ability to proactively take ownership of projects and drive through to completion, • Working knowledge in SAP and financial technologies, • Critical thinking and problem solving, • Experience collaborating across multiple teams, • Detail-oriented with excellent oral and written communication skills, • Organized, planful and continuous improvement mindset, • Intellectual curiosity to continue learning and add breadth and depth to understanding, • Ability to seek guidance and learn new skills from peers What to Expect as Part of MassMutual and the Team • Regular meetings with the Debt Management & Liquidity and broader Treasury 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 strong and stable ethical business with industry leading pay and benefits #LI-MM1 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.

The Opportunity Join our dynamic team as a Business System Analyst, where you'll play a pivotal role in driving the execution of our technology strategy. This role is crucial in driving digital transformation and operational efficiency across financial systems that support Actuarial, FP&A, Reinsurance, Treasury, Accounting and Tax functions. You will serve as a key liaison between Finance, IT, and CFO specific business units to design, implement, and optimize financial technology solutions. The Team You'll be an integral part of our esteemed Corporate Technology Team, focused on Finance Technology. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corporate Technology leadership team as well as our CFO stakeholder. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: • Partner with Finance, Accounting, Actuarial, Claims, and Reinsurance teams to gather and translate business requirements into system solutions., • Lead enhancements and implementations of insurance-specific financial platforms e.g., Anaplan, GGY Axis, Prophet, TAI, Kyriba and SAP related products., • Map business processes related to CFO functions, • Conduct system impact assessments, data flow mapping, and process optimization initiatives., • Manage finance system integrations with policy administration systems., • Collaborate with CFO teams and data teams to improve financial modeling, forecasting, and reporting., • Develop and execute UAT plans, design end-user training, and provide post-implementation support., • Stay informed on insurance industry trends, financial regulatory changes, and system innovations. The Minimum Qualifications • Bachelor’s Degree, • 8+ years of experience as a Business Systems Analyst, with at least 3 years supporting Finance within the insurance industry., • 2+ years of experience in-depth knowledge of financial processes including Actuarial, FP&A, ALM, Reinsurance, Tax, and Financial Reporting., • 2+ years of proficiency in SQL and financial reporting tools e.g., Power BI, Tableau., • 1+ year of familiarity with regulatory frameworks such as NAIC, STAAT, GAAP The Ideal Qualifications • Master’s degree in Finance, Accounting, Information Systems, or Actuarial Science, • Proven track record of analytical and problem-solving skills., • Strong communication skills with a proven ability to work across functional teams., • A solid understanding of Financial Accounting Systems and knowledge of accounting principles, reporting, and budgeting, • Strong data analysis skills for extracting insights from financial data, • Proficiency in data visualization tools and reporting software is also important., • Experience integrating financial systems with actuarial, policy administration, and claims platforms., • Exceptional communication and interpersonal skills., • Ability to influence and motivate teams without direct authority., • Excellent time management and organizational skills, with the ability to prioritize multiple initiatives. #LI-SC1 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.

Job DescriptionCapital Raising Advisor – Venture Studio (Initio Capital) Website: initiocapital.com Location: Remote Compensation: Equity opportunities, consulting income, referral bonuses Type: Part-Time / Advisory / Flexible About Initio Capital Initio Capital is a venture studio on a mission to democratize venture capital and expand access to opportunity for founders worldwide. We partner with early-stage startups and equip them with the advisors, systems, and networks needed to scale. Our platform gives experienced operators and professionals access to: * High-potential venture-backed startups * Best-in-class advisory tools and founder systems * A network of investors, founders, and fellow experts * Income streams through consulting, fractional work, and referrals We are actively onboarding seasoned capital-raising operators, consultants, agency leaders, and finance professionals who want to help founders secure pre-seed and seed funding. Role Overview As a Capital Raising Advisor, you will work directly with founders inside our venture studio to help them become investor-ready, develop clear fundraising strategies, and secure the capital they need to grow. You will support companies across industries by providing expert guidance on capital strategy, investor communications, deck refinement, and introductions to qualified investors. This role is ideal for individuals with fundraising experience who want flexible, high-impact advisory work with meaningful compensation and networking opportunities. ResponsibilitiesFundraising Strategy & Planning * Help founders develop clear, realistic pre-seed/seed funding strategies * Advise on valuation, deal structuring, financial planning, and dilutive vs. non-dilutive options * Guide founders through SAFE, notes, early equity rounds, and investor expectations Investor Readiness & Materials * Review and refine pitch decks, financial models, and data rooms * Improve messaging, narrative clarity, and investor positioning * Coach founders on pitching, storytelling, and investor communication Investor Connections & Introductions * Provide warm introductions to angels, syndicates, lenders, and early-stage VCs (optional) * Support founders as they navigate investor conversations and diligence * Help founders expand their fundraising pipeline and strategy Strategic Support Beyond Capital While capital raising is the core focus, advisors may also contribute to: * Go-to-market strategy * Product development strategy * Talent and early hiring needs * Operational systems and back-office readiness What You Get by Joining Initio CapitalAccess to Exclusive Deal Flow Engage with venture-backed and high-growth startups in our ecosystem. Income Opportunities Earn through: * Paid consulting projects * Fractional advisory roles * Referral bonuses * Select equity opportunities Best-in-Class Tools & Systems We provide frameworks, templates, investor databases, and tooling to streamline your advisory work. Network & Community Join a collective of founders, investors, operators, and agency owners aligned with supporting early-stage innovation. Mission-Aligned Work Play a direct role in democratizing venture capital and enabling more founders to raise with confidence. Who We’re Looking ForIdeal Background * Experience raising capital for a startup or supporting founders who have raised * Background in finance, venture capital, investment banking, entrepreneurship, or advisory work * Experience with SAFEs, convertible notes, financial modeling, or investor relations Skills & Traits * Strong understanding of early-stage fundraising mechanics * Excellent storytelling and communication skills * Ability to quickly diagnose blind spots and provide actionable advice * Comfortable working with multiple startups across industries * Passion for enabling founders and empowering new innovation How to Join We use a simple two-step onboarding process:

Key Responsibilities: Research and implement financial engineering, data science, and statistical techniques for risk management Conduct regular testing of risk limits to guide asset allocation and product growth decisions Own complex quantitative modeling processes and ensure consistent model a

Key Responsibilities Conduct analysis of financial products, including asset modeling and scenario analysis Research and develop new products and product changes, supporting initial launch plans Contribute to pricing and structuring decisions to optimize financial products Required Qualificatio

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. Shape the future of user experience with strategic design initiatives that blend business needs and user insights. As an Experience Design Vice President in Branded Card, you will play a pivotal role in shaping the user experience across our products and services. Leveraging your deep knowledge of design and research practices to lead strategically important initiatives and develop innovative solutions that align with business requirements and user needs. As a subject matter expert, collaborate with cross-functional teams, guide, and mentor junior designers, and foster a culture of inclusivity and accessibility. Your expertise in experience strategy and inclusive design will ensure that our offerings are not only visually appealing but also accessible and user-friendly, enhancing the overall customer experience. In this role, you will be responsible for leading design for our Consumer Branded Cards, including Chase Freedom and Slate. Your success will depend upon your excellent design craft skills and strong leadership capabilities. Strong impact in this role will require strong relationships with product, development, and data partners, and ability to lead and manage a team of UX and content designers. You’ll work collaboratively with research to clarify customer needs and build a deep understanding of the business to understand goals. Job responsibilities • Develop and execute design/research strategies for complex projects and ensure alignment with business objectives and user needs across multiple product areas, • Diagram service flows and product features, design wireframes, and prototype interactions for key touchpoints as you lead end-to-end design initiatives within a specific domain., • Role-model the adoption of inclusive design practices and accessibility guidelines, mentor junior designers and foster a culture of diversity and inclusion, • Collaborate with cross-functional teams to integrate user experience design into the product development processes and ensure seamless and customer-centric solutions, • Analyze market trends, gather feedback from user research, and learn from data insights to inform design decisions and optimize user experiences across various platforms and channels, • Create scalable design approaches that enable repeatable processes and design approaches that improve product speed to market, • Leverage LLM tools to create efficiencies that free designers to focus on the most strategic, impactful work Elevate the design craft of the team by modeling good practices and fostering a culture of learning and respectful critique Required qualifications, capabilities, and skills • 5+ years of experience or equivalent expertise in user experience design or similar roles, • Demonstrated ability to create visual representations of user journeys, such as storyboarding, wireframes, and prototypes, • Demonstrated experience in inclusive design and accessibility guidelines, with the ability to incorporate diverse perspectives and abilities into design solutions, • Proven ability to develop experiences that meet or exceed the initial proposal of a product or experience, including the development of transformational innovation strategies and the creation of 'north star' representations to drive customer-centric decision-making, • Advanced technical literacy, including an advanced understanding of client-side technologies, APIs, microservices, and the components of the technology stack, as well as their impact on user experience, • Proven ability to use metrics and data to measure, test and improve products over time, • Strong documentation and storytelling skills, proven ability to align broad cohorts of stakeholders around a design vision and create a shared roadmap, • Proven ability to deliver product design at scale, including working across teams to gain agreements and resolve blockers Preferred qualifications, capabilities, and skills • Design leadership or managerial experience, • Experience in financial services We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm’s data sharing principles of security, customer control and convenience, and privacy.

Key Responsibilities Serve as a contact for clients and agency departments on client finance matters Assist in monthly forecasting, budgeting cycles, and financial modeling in coordination with agency leads Prepare invoices and billing reconciliations while ensuring adherence to contract complia

Job DescriptionAbout Townhouse Partners Townhouse Partners is a consulting firm with 15 years of experience specializing in financial due diligence and underwriting of commercial real estate. We provide due diligence, advisory, and research services to investors seeking a competitive edge in the market. Our unique financial modeling and experienced project management approach allow us to deliver best-in-practice advice. Townhouse Partners has successfully managed and advised on billions of dollars in property value and loan worthiness across the real estate universe. In recent years, we have analyzed over a third of all annual CMBS issuances, accounting for over $35 billion in deal volume. Job Summary As an Associate at Townhouse Partners, you will be an integral part of our team, supporting our advisory and consulting services for commercial real estate transactions. You will collaborate closely with senior team members to conduct analyses, financial modeling, and due diligence for various real estate projects. This role offers an excellent opportunity to develop your expertise and contribute to the success of high-profile client engagements. Key Responsibilities • Conduct comprehensive financial analyses and underwriting for commercial real estate transactions., • Develop and maintain financial models to support due diligence and advisory services., • Perform detailed market research and data analysis to inform investment decisions., • Assist in the preparation of detailed reports and presentations for clients., • Collaborate with internal teams to support project management and client engagements., • Monitor and track market trends, property performance, and industry developments., • Participate in client meetings and presentations, providing insights and analysis as needed., • Lead and deliver training for new employees to ensure a smooth onboarding process., • Mentor and develop junior team members, fostering a collaborative and high-performance work environment. Qualifications, • Bachelor’s degree in Finance, Real Estate, Economics, or a related field., • 2-4 years of experience in real estate finance, investment analysis, or a similar role., • Strong analytical skills and proficiency in financial modeling and analysis., • Excellent written and verbal communication skills., • Proficiency in Microsoft Office Suite, particularly Excel., • Knowledge of commercial real estate markets and industry trends., • Detail-oriented with strong organizational and project management skills., • Strong research, analytical, and problem-solving skills., • Ability to work both independently and collaboratively in a fast-paced environment., • Ability to travel <10% as needed.Physical Requirements, • Experience with CMBS (Commercial Mortgage-Backed Securities) underwriting and analysis., • Familiarity with real estate valuation techniques and software.What We Offer, • Comprehensive Benefits Package, including medical, dental, vision and 401K., • Competitive salary, including potential for a discretionary bonus, • Opportunities for professional growth and development., • A collaborative and dynamic work environment. Powered by JazzHR TdniS05g0X

Job Description LHH is partnering with a mission-driven nonprofit to find a talented Finance Manager. This is an exciting opportunity to join a dynamic organization that creates transformative experiences fostering cultural understanding and leadership development. The Finance Manager will play a key role in strengthening the finance function as a strategic partner to the organization. 2 days in office. What You’ll Do: * Lead FP&A, including forecasting, variance analysis, and financial modeling * Partner with department heads on budgeting and resource allocation * Oversee audits, compliance, and operational finance processes * Drive process improvements and implement automation tools What We’re Looking For: * 5+ years of progressive finance experience * Strong FP&A and accounting knowledge * Skilled in financial modeling and reporting tools * Collaborative, detail-oriented, and excited to work in a fast-paced, mission-driven environment Details: * Hybrid role based in NYC * Salary range: $75K–$85K * Excellent benefits including generous PTO, wellness stipend, and 401k match Pay Details: $75,000.00 to $85,000.00 per year Search managed by: Anca Biancucci Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act, • Los Angeles City Fair Chance Ordinance, • Los Angeles County Fair Chance Ordinance for Employers, • San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job DescriptionSenior Market Risk - Distressed Debt Market risk leadership position supporting the credit trading/distressed team of an international investment bank Responsibilities: • Effectively risk manage all relevant risk factors inherent to the trading of distressed instruments (market risk, legal risk, idiosyncratic and restructuring risk), • Conduct quantitative and qualitative risk analysis on distressed debt instruments both prior to and post trade execution, • Provide recommendations and analysis on risk mitigation strategies, • Proactively assess positions including deep dive investigations of large P&L and/or risk movements, and quantify existing and new risks while providing cogent commentary to senior stakeholders., • Assist in the definition, review and implementation of limits and ensure risk is well monitored and reported., • Participate in the development of new and enhanced risk tools, • Perform impact analysis of new models including testing for valuation and risk across the HY book(s), • Develop and compute Stress‐test scenarios and analyze the results., • Ensure updated and relevant reserves and Prudent Valuation methodologies are in place. Requirements: • Relevant quantitative market risk management experience, • Strong knowledge of fundamental credit analysis and/or financial modelling skills gained from prior experience within corporate credit analysis., • Strong knowledge of restructuring process and associated trading strategies, • Understanding quantitative risk measures and related modeling / methodology, • Ability to understand, identify, and communicate key risks associated with a variety of processes and transaction structures., • Experience in credit trading (High Yield Cash/CDS) preferred, • Masters degree in a quantitative discipline (e.g., statistics, physics, math) For immediate consideration, please forward resume and contact details to: Ashton Lane Group is a boutique executive recruitment firm serving the Banking, Insurance, and Alternative Investment sectors. For the latest opportunities, visit Ashton Lane Group® “A trusted advisor throughout your career”

Job Description This client is a leading investment bank in NYC looking to expand their Consumer Group with a highly motivated Investment Banking Analyst II/III. This is an opportunity to work in one of the highest revenue-generating groups on the platform. You will gain exposure to sophisticated sell-side M&A transactions for prominent consumer brands, while benefiting from mentorship and a collaborative, entrepreneurial culture. Key Responsibilities • Support all aspects of sell-side M&A processes, including financial analysis, valuation, and preparation of marketing materials., • Conduct in-depth industry and company research within the consumer sector., • Build and maintain detailed financial models to evaluate strategic alternatives., • Assist in drafting presentations and transaction documents for clients and prospective buyers., • Coordinate due diligence and manage data rooms throughout the transaction lifecycle. Qualifications • Experience: 1-2 years of investment banking experience, ideally with exposure to M&A transactions., • Technical Skills: Strong financial modeling, valuation, and analytical capabilities., • Industry Knowledge: Interest or prior experience in the consumer sector is highly preferred., • Education: Bachelor's degree in Finance, Economics, or related field., • Attributes: Exceptional attention to detail, ability to thrive in a fast-paced environment, and strong communication skills. Company DescriptionOperating as part of Phaidon International, Selby Jennings is a multi-award winning global recruitment organization focused on servicing the financial industry. By breaking down financial markets into individual niches and micro-specialisms, Selby Jennings powers a knowledge-led model, delivering global solutions into local markets. Every consultant is an expert in their field. Structuring our teams to mirror the demands of our clients and candidates, we identify, qualify and present the highest caliber candidates, as well as identifying the best market opportunities for leading finance professionals. We work in partnership with clients to tailor-make a suitable search model based on the type of assignment and client service level requirements, adopting a bespoke combination of solutions to ensure optimum reach into the active and passive market places. From our offices around the world, we recruit beyond international boundaries, pro-actively sourcing the best talent in the industry. Across contingent, retained, and project solutions, our service is unrivaled; speaking to our level of service provision, search accuracy, and flexibility.Operating as part of Phaidon International, Selby Jennings is a multi-award winning global recruitment organization focused on servicing the financial industry.\r\n\r\nBy breaking down financial markets into individual niches and micro-specialisms, Selby Jennings powers a knowledge-led model, delivering global solutions into local markets. Every consultant is an expert in their field. Structuring our teams to mirror the demands of our clients and candidates, we identify, qualify and present the highest caliber candidates, as well as identifying the best market opportunities for leading finance professionals.\r\n\r\nWe work in partnership with clients to tailor-make a suitable search model based on the type of assignment and client service level requirements, adopting a bespoke combination of solutions to ensure optimum reach into the active and passive market places.\r\n\r\nFrom our offices around the world, we recruit beyond international boundaries, pro-actively sourcing the best talent in the industry. Across contingent, retained, and project solutions, our service is unrivaled; speaking to our level of service provision, search accuracy, and flexibility.