This role pays more than
63%
of similar roles. Most pay
$139,162–$204,707
— the shaded band above.
At the midpoint, this role pays about
$181k
versus about
$172k
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.
As a Principal Associate, Quantitative Analysis, you will join a cross-disciplinary team to enhance modeling and analytical frameworks across various lines of business. You will be responsible for creating novel analytical solutions to complex business problems, identifying opportunities to apply quantitative methods and automation to improve performance and process efficiencies. Your daily work involves building cloud-based solutions grounded in data and providing technical guidance to leadership by communicating complex concepts clearly to diverse audiences. To succeed, you must utilize expertise in econometric, statistical, and machine learning methods to generate critical insights. The role requires proficiency in R, Python, or SQL, along with experience in linear and logistic regression, survival analysis, time-series analysis, and managing large datasets of at least one million records to solve core business challenges through advanced data science.
Develop modeling and analytical frameworks to solve complex business problems across various lines of business.
Identify opportunities to apply quantitative methods and automation solutions to improve process efficiencies.
Build cloud-based solutions grounded in large datasets within a cross-disciplinary team.
Apply econometric, statistical, and machine learning methods to generate critical insights for the business.
Provide technical guidance and expert advice to business leadership.
Communicate complex technical subject matter clearly and concisely to non-technical audiences.
What we're looking for
Must have a master's degree in a quantitative field or a PhD with demonstrated proficiency in required skillsets.
Requires 3 years of experience in quantitative analytics.
Requires 3 years of experience in statistical or econometric modeling, including linear and logistic regression.
Requires 3 years of experience programming in 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 three areas: survival analysis, time-series, panel data, cross-sectional data, machine learning, or large dataset management.
Must be able to communicate technical subject matter clearly and concisely to individuals from various backgrounds.
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