below marketmost similar roles pay hereabove market
This role pays more than
58%
of similar roles. Most pay
$122,275–$205,325
— the blue band above.
At the midpoint, this role pays about
$173k
versus about
$164k
for comparable roles.
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
2203 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1138 roles with salary data.
The Principal Quantitative Analyst - Global Finance joins the Finance organization to develop and enhance Capital Markets modeling and analytical frameworks. This role involves creating novel analytical solutions for complex business problems, specifically focusing on derivatives models and fixed income models. You will partner with various lines of business to identify opportunities for automation and quantitative methods to improve process efficiencies. Day-to-day tasks include owning the model development process from conceptualization through data exploration, selection, validation, deployment, and monitoring. You will utilize Python, R, SQL, and machine learning methods to generate critical insights. Key technical competencies include linear and logistic regression, time-series analysis, survival analysis, and panel data analysis. You will also navigate Risk Management Software to provide technical guidance and communicate results to diverse audiences.
Develop and enhance Capital Markets modeling and analytical frameworks, including derivatives and fixed income models.
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 deep expertise in mathematics and statistical methods.
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 projects.
Communicate technical modeling results and subject matter clearly to non-technical business leadership.
What we're looking for
Hold a Master’s degree in a quantitative field plus 3 years of experience or a PhD in a quantitative field.
Possess at least 3 years of experience in statistical or econometric modeling and linear and logistic regression.
Possess at least 3 years of experience in programming using R, Python, or SQL.
Possess at least 3 years of experience in at least 3 of the following: survival analysis, time-series, panel data, cross-sectional data, machine learning, or large dataset management.
Demonstrate the ability to present statistical concepts and research results to a non-statistical audience.
Possess deep expertise in quantitative modeling related to finance, capital markets, derivatives, and investment portfolio modeling.
Have extensive experience in Python or another object-oriented language.
Have 4 years of experience with Python, R, or other statistical analyst software (preferred).
Have 4 years of experience manipulating and analyzing large data sets (preferred).