Principal Associate, Data Science, Model Risk Office

Capital One Financial

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Quick summary

Work type: On-site
Location: McLean, VAChicago, ILNew York, NYPlano, TX
Salary: $147,100–$167,900 / yr
Employment: Full-time
Posted: 21 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k

This role $158k

$136k $255k

below market most similar roles pay here above market

This role pays less than 82% of similar roles. Most pay $173,200–$223,750 — the blue band above. At the midpoint, this role pays about $158k versus about $198k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate, Data Science, Model Risk Office

Role Posting Log in to save

JOB TITLE: Principal Associate, Data Science - Model Risk Office The Principal Associate, Data Science - Model Risk Office joins a team dedicated to defending the enterprise against model failures and improving decision-making. In this role, you will partner with cross-functional teams of data scientists, software engineers, and product managers to identify and quantify risks associated with models. You will lead teams of data scientists to build machine learning models that challenge current production champions and contribute to the model governance framework. Key responsibilities include leading validations across multiple business domains and presenting risk impacts to executives. You will utilize a technology stack including Python, Conda, AWS, H2O, and Spark to analyze numeric and textual data. Required skills include experience with clustering, classification, sentiment analysis, time series, and deep learning to solve complex risk management problems.

Skills

Python AWS Spark SQL H2O Conda Scala R Machine Learning Deep Learning Time Series Sentiment Analysis Clustering Classification Statistics

What you'll do

Identify and quantify risks associated with models in partnership with cross-functional teams.
Use Python, AWS, H2O, and Spark to extract insights from large volumes of numeric and textual data.
Lead teams of data scientists to build machine learning models that challenge current production models.
Contribute to the model governance framework for the next generation of models.
Lead the validation of a wide variety of models across multiple business domains.
Present identified model risks and their potential business impacts to executives.

What we're looking for

Must have a Bachelor's degree in a quantitative field plus 5 years of data analytics experience.
Must have a Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of data analytics experience.
Must have a PhD in a quantitative field.
Master’s Degree in a STEM field plus 3 years of experience in data analytics (preferred).
PhD in a STEM field (preferred).
At least 1 year of experience working with AWS (preferred).
At least 3 years’ experience in Python, Scala, or R (preferred).
At least 3 years’ experience with machine learning (preferred).
At least 3 years’ experience with SQL (preferred).

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