This role pays more than
76%
of similar roles. Most pay
$121,025–$173,200
— the shaded band above.
At the midpoint, this role pays about
$173k
versus about
$147k
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
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 roles with salary data.
Principal Associate - Quantitative Analyst joins the Finance organization to develop and enhance Capital Markets modeling and analytical frameworks, including deposit predictions, derivatives models, 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 candidate will apply expertise in mathematics, statistical methods, and machine learning to generate critical insights and decision frameworks while providing technical guidance to leadership. Required skills include proficiency in Python, R, or SQL, as well as experience with linear and logistic regression, time-series analysis, survival analysis, and managing large datasets exceeding one million records. The role focuses on the financial domain of capital markets and investment portfolio modeling to simplify complex processes through advanced quantitative methods and technical innovation.
Develop and enhance Capital Markets modeling frameworks including deposit predictions, derivatives models, 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 the business.
Provide technical guidance and communicate complex modeling results clearly to non-technical stakeholders.
Manage the full model development lifecycle from conceptualization and data exploration to deployment and monitoring.
Maintain high-quality, transparent documentation for all developed models and analytical frameworks.
What we're looking for
Must have a Master's degree in a quantitative field (or MBA with 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 non-statistical audiences.
Must have at least 3 years of experience in at least three of the following: survival analysis, time-series, panel data, cross-sectional data, machine learning, or large dataset management.
Extensive experience in Python or another object-oriented language is required.
4 years of experience with Python, R, or other statistical analyst software (preferred).
4 years of experience manipulating and analyzing large data sets (preferred).
Python
R
Spark
SQL
AWS
Business Intelligence
Data Visualization
Data Quality Management
Data Governance
Agile
Lean
Six Sigma
Metadata
data, lineage
Statistical Modeling
Python
AWS
Machine Learning
Spark
SQL
H2O
Conda
Scala
R
Deep Learning
Sentiment Analysis
Time Series
Clustering
Classification
Big Data
Statistical Modeling