Principal Associate, Quantitative Analysis - Investment Portfolio Team

Capital One • McLean, VA

4d

About The Position

Principal Associate, Quantitative Analysis - Investment Portfolio Team At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. This position offers a unique opportunity to be a part of the dynamic Finance organization at Capital One. The Finance organization has been on a technology journey seeking to find ways to leverage technology to drive deeper insights and make the complex simple. We are looking for candidates to help enhance deep learning model architecture and develop and deploy fixed income valuation systems using modern platforms. Responsibilities Advanced Model Development: Partner with various lines of business to develop, enhance, and deploy advanced finance models, such as fixed income models (e.g., mortgage prepayment). AI/ML Innovation: Design and implement novel analytical solutions, applying neural networks, deep learning, and transformer architectures to solve challenging business problems across Capital One entities. LLM and Agentic Workflows: Identify and execute opportunities to apply Large Language Models (LLMs) and agentic workflows to improve business performance and process efficiencies. End-to-End ML Ownership: Take full ownership of the end-to-end ML model development and deployment process, from conceptualization and data engineering through model development, validation, and production deployment. Cloud-Based Solutions: Collaborate with a cross-disciplinary team to build and scale cloud-based solutions using modern platforms like Kubernetes and Kubeflow. Quantitative Strategy: Identify opportunities for quantitative methods and automation solutions to enhance business performance and optimize complex financial processes. Communication & Collaboration: Clearly and concisely communicate complex technical subject matter and critical insights to a diverse audience, including executive stakeholders. Expertise in quantitative analysis is central to our success in all markets. Our modelers thrive in a culture of mutual respect, excellence and innovation. Successful candidates will possess: Deep understanding of quantitative modeling in relation to finance and investment portfolio modeling principles. Extensive experience in Python or other object-oriented language Ability to clearly communicate modeling results to a wide range of audiences Drive to develop and maintain high quality and transparent model documentation Strong written and verbal communication skills Strong presentation skills Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring Knowledge of derivative instruments and experience with derivatives modeling Behavior modeling (prepayment or default) experience for complex fixed income products or loans (mortgage/auto/card)

Requirements

• Deep understanding of quantitative modeling in relation to finance and investment portfolio modeling principles.
• Extensive experience in Python or other object-oriented language
• Ability to clearly communicate modeling results to a wide range of audiences
• Drive to develop and maintain high quality and transparent model documentation
• Strong written and verbal communication skills
• Strong presentation skills
• Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring
• Knowledge of derivative instruments and experience with derivatives modeling
• Behavior modeling (prepayment or default) experience for complex fixed income products or loans (mortgage/auto/card)
• Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Nice To Haves

• Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline
• At least 5 years of experience in Python
• At least 2 years of experience in machine learning
• At least 1 year of experience with data analysis and SQL
• At least 1 year of hands-on model deployment experience
• At least 1 year of experience developing agentic workflows
• At least 1 year of experience using, fine-tuning, and deploying Large Language Models (LLMs)

Responsibilities

• Advanced Model Development: Partner with various lines of business to develop, enhance, and deploy advanced finance models, such as fixed income models (e.g., mortgage prepayment).
• AI/ML Innovation: Design and implement novel analytical solutions, applying neural networks, deep learning, and transformer architectures to solve challenging business problems across Capital One entities.
• LLM and Agentic Workflows: Identify and execute opportunities to apply Large Language Models (LLMs) and agentic workflows to improve business performance and process efficiencies.
• End-to-End ML Ownership: Take full ownership of the end-to-end ML model development and deployment process, from conceptualization and data engineering through model development, validation, and production deployment.
• Cloud-Based Solutions: Collaborate with a cross-disciplinary team to build and scale cloud-based solutions using modern platforms like Kubernetes and Kubeflow.
• Quantitative Strategy: Identify opportunities for quantitative methods and automation solutions to enhance business performance and optimize complex financial processes.
• Communication & Collaboration: Clearly and concisely communicate complex technical subject matter and critical insights to a diverse audience, including executive stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees