below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$145,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$192k
versus about
$180k
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
1917 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1045 roles with salary data.
The Principal Associate, Quantitative Analysis joins a cross-disciplinary team to enhance modeling and analytical frameworks across various lines of business. This role involves creating novel analytical solutions to solve challenging business problems by identifying opportunities to apply quantitative methods and automation to improve process efficiencies. The successful candidate will build cloud-based solutions grounded in data and provide technical guidance to business leadership. Key responsibilities include applying deep expertise in econometric, statistical, and machine learning methods to generate critical insights and decision frameworks. Required technical skills include programming in R, Python, or SQL, and experience with linear and logistic regression. Candidates must demonstrate proficiency in survival analysis, time-series analysis, panel data analysis, and managing large datasets exceeding one million records to improve overall business performance.
Enhance modeling and analytical frameworks across various lines of business.
Create novel analytical solutions to solve challenging business problems.
Identify opportunities to apply quantitative methods and automation to improve process efficiencies.
Build cloud-based solutions grounded in data within a cross-disciplinary team.
Apply econometric, statistical, and machine learning methods to generate critical insights.
Provide technical guidance to business leadership.
Communicate technical subject matter clearly to individuals from various backgrounds.
What we're looking for
Requires a master’s degree in a quantitative field and 3 years of experience in quantitative analytics.
A PhD in a quantitative field is accepted in lieu of a master’s degree and 3 years of experience.
Requires 3 years of experience in statistical or econometric modeling.
Requires 3 years of experience in linear and logistic regression.
Requires 3 years of experience in programming using R, Python, or SQL.
Requires 3 years of experience presenting statistical concepts and research results to a non-statistical audience.
Requires 3 years of experience in at least 3 areas including survival analysis, time-series, panel data, cross-sectional data, machine learning, or large dataset management.
Python
AWS
Spark
H2O
SQL
Scala
R
Conda
Machine Learning
Deep Learning
Time Series
Sentiment Analysis
Clustering
Classification
Statistical Modeling
Big Data