below marketmost similar roles pay hereabove market
This role pays more than
56%
of similar roles. Most pay
$127,950–$208,800
— the blue band above.
At the midpoint, this role pays about
$173k
versus about
$168k
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
2107 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1107 roles with salary data.
JOB TITLE: Principal Quantitative Analyst - Model Risk Office
As a Principal Quantitative Analyst - Model Risk Office, you will join the validation team to oversee balance sheet forecasting and economic stress test models. You will determine capital requirements for commercial and consumer loans by validating all aspects of model development and performance. Your daily work involves partnering with various lines of business to enhance Capital Markets modeling frameworks, including deposit predictions, derivatives, and fixed income models. You will build cloud-based solutions and apply quantitative methods to solve challenging business problems. Required skills include deep expertise in mathematics, statistical modeling, and machine learning. You must be proficient in Python, R, SQL, or C++. Key domain knowledge includes financial time series, interest rate term structures, mortgage prepayment models, and market risk principles.
Validate balance sheet forecasting and economic stress test models to determine capital requirements.
Develop and enhance Capital Markets modeling frameworks for deposits, derivatives, and fixed income.
Own the full model validation process from conceptualization and data exploration to deployment and monitoring.
Apply machine learning and statistical methods to generate critical business insights and decision frameworks.
Create novel analytical solutions to solve challenging business problems across different entities.
Identify opportunities to apply quantitative methods and automation to improve process efficiencies.
Maintain high-quality, transparent model documentation and communicate technical results to non-technical stakeholders.
Build cloud-based solutions grounded in large-scale data and quantitative analysis.
What we're looking for
Must have a Master’s degree in a quantitative field plus 3 years of experience in quantitative analytics.
Must have a PhD in a quantitative field.
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 R, Python, or SQL.
Must have at least 3 years of experience in at least 3 of the listed advanced modeling skills, including time-series, machine learning, or survival analysis.
Must have extensive experience in Python or other object-oriented languages such as C++.
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).