This role pays more than
62%
of similar roles. Most pay
$126,800–$190,000
— the shaded band above.
At the midpoint, this role pays about
$173k
versus about
$158k
for comparable roles.
Based on 239 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
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 roles with salary data.
Principal Quantitative Analyst - Global Finance joins the Finance organization to develop and enhance capital markets modeling and analytical frameworks, including derivatives and fixed income models. This role involves creating novel analytical solutions for complex business problems, identifying automation opportunities to improve process efficiencies, and building cloud-based solutions grounded in data. The position requires applying advanced mathematics, statistical methods, and machine learning to generate critical insights and decision frameworks. Key responsibilities include owning the full model development lifecycle from conceptualization through deployment and monitoring while providing technical guidance to leadership. Candidates must possess expertise in Python or other object-oriented languages, SQL, R, and experience with large datasets. The work focuses on solving complex financial problems within capital markets, utilizing quantitative methods to improve business performance across various lines of business.
Develop and enhance Capital Markets modeling frameworks including derivatives and fixed income models.
Create novel analytical solutions to solve complex business problems across various company entities.
Apply quantitative methods and machine learning to improve business performance and process efficiencies.
Build cloud-based solutions grounded in large datasets to provide critical insights for decision-making.
Provide technical guidance and communicate complex modeling results clearly to non-technical leadership.
Manage the full model development lifecycle from conceptualization and data exploration to deployment and monitoring.
Maintain high-quality, transparent documentation for all developed models.
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, or a PhD in a quantitative field.
Must have at least 3 years of experience in statistical or econometric modeling and linear and logistic regression.
Must have at least 3 years of experience in programming using 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 three of the following: survival analysis, time-series analysis, panel data, cross-sectional data, machine learning, or managing large datasets.
Experience with Python, R, or other statistical analyst software (preferred).
Experience manipulating and analyzing large data sets (preferred).