CareerPlanGet AI match score →

Principal Associate, Quantitative Analysis

McLean, VA, US💼 Full-time🗓 2026-05-22 → 2026-06-26

Core

Partner with lines of business to enhance modeling and analytical frameworks, creating novel solutions to business problems using quantitative methods and automation.

Role type

Principal Associate, Quantitative Analysis

Builds

Cloud-based analytical solutions grounded in data

Domain

Financial services / Quantitative analytics

Deliverable

production ML models | dashboards & analysis

Required skills

Statistical or econometric modeling, Linear and logistic regression, Programming in R, Python, or SQL, Survival analysis modeling, Time-series analysis, Panel data analysis, Cross-sectional data analysis, Machine Learning, Analysis and management of large datasets

Preferred skills

None stated

Technologies

R, Python, SQL

Responsibilities

Partner with lines of business to enhance modeling and analytical frameworks, Create novel analytical solutions to challenging business problems, Identify opportunities to apply quantitative methods and automation, Collaborate in cross-disciplinary teams to build cloud-based solutions, Apply deep expertise in econometric, statistical, and machine learning methods, Provide technical guidance to business leadership

Seniority

Senior, hands-on IC

Rewrite
## Principal Associate, Quantitative Analysis ## Responsibilities * Partner with the various lines of business to enhance modeling and analytical framework. * Work across Capital One entities to create novel analytical solutions to the challenging business problems. Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies. * Collaborate in a cross-disciplinary team to build cloud based solutions grounded in data. Identify opportunities to apply quantitative methods or machine learning to improve business performance. * Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers. Provide technical guidance to business leadership. * Communicate technical subject matter clearly and concisely to individuals from various backgrounds. ## Requirements * Requires a master's or foreign equivalent degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Engineering, or a related quantitative field and 3 years of experience in quantitative analytics. * Requires 3 years of experience in: * Statistical or econometric modeling; * Linear and logistic regression; * Programming in R, Python, or SQL; and * Presenting statistical concepts and research results to a non-statistical audience. * Requires 3 years of experience in at least 3 of the following skills: * Survival analysis modeling; * Time-series analysis; * Panel data analysis (longitudinal data or cross-sectional time-series data); * Cross-sectional data analysis; * Machine Learning; * Analysis and management of large datasets (at least 1 million records). * In lieu of a master's or foreign equivalent degree in the aforementioned fields and 3 years of experience as stated, employer will accept a PhD or foreign equivalent degree in the aforementioned fields and demonstrated proficiency in the skillsets above. * Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. * Experience may be, but need not be, acquired concurrently. * Eligible for employee referral program. * At this time, Capital One will not sponsor a new applicant for employment authorization for this position. ## Benefits * 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.
Sourced via efinancialcareers · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on eFinancialCareers ↗