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$126,325–$179,878.
Based on 240 similar postings.
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
2107 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1107 roles with salary data.
The Principal Associate - Quantitative Analyst joins the Finance organization to develop and enhance Capital Markets modeling and analytical frameworks. This role involves creating novel analytical solutions for challenging business problems, including deposit predictions, derivatives models, and fixed income models. You will own the full model development process from conceptualization through data exploration, selection, validation, deployment, and monitoring. The position requires applying deep expertise in mathematics, statistical, and machine learning methods to generate critical insights. Key technologies and skills include Python, R, SQL, and experience with linear and logistic regression, time-series analysis, and survival analysis. You will build cloud-based solutions grounded in data to improve business performance and process efficiencies while navigating Risk Management Software to enable complex business analysis.
Develop and enhance Capital Markets modeling frameworks for deposit predictions, derivatives, and fixed income.
Create novel analytical solutions to solve challenging business problems across various Capital One entities.
Apply quantitative methods and machine learning to improve business performance and process efficiencies.
Build cloud-based solutions grounded in data within a cross-disciplinary team environment.
Generate critical insights and decision frameworks using mathematics, statistics, and machine learning.
Provide technical guidance and communicate complex modeling results to non-technical business leadership.
Own the full model development process from conceptualization and data exploration to deployment and monitoring.
Maintain high-quality and transparent model documentation for all developed solutions.
What we're looking for
Must have a Master’s degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience in quantitative analytics.
Must have a PhD in a quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science.
Must have at least 3 years of experience in statistical or econometric modeling.
Must have at least 3 years of experience in linear and logistic regression.
Must have at least 3 years of experience in programming in R, Python, or SQL.
Must have at least 3 years of experience presenting statistical concepts and research results to a non-statistical audience.
Must have at least 3 years of experience in at least 3 of the following: survival analysis, time-series analysis, panel data analysis, cross-sectional data analysis, machine learning, or large dataset management.
Must have extensive experience in Python or another object-oriented language.
Must have 4 years of experience with Python, R, or other statistical analyst software (preferred).
Must have 4 years of experience manipulating and analyzing large data sets (preferred).