Senior Director, Data Science, Head of Fair Lending Analytics, Fair & Responsible Banking Compliance

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Richmond, VAMcLean, VA
Salary: $314,800–$359,300 / yr
Posted: 116 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k

This role $337k

$144k most similar roles pay here $382k

This role pays more than 98% of similar roles. Most pay $173,200–$241,650 — the shaded band above. At the midpoint, this role pays about $337k versus about $207k 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Director, Data Science, Head of Fair Lending Analytics, Fair & Responsible Banking Compliance

Role Posting Log in to save

Senior Director, Data Science - Head of Fair Lending Analytics - Fair & Responsible Banking Compliance serves as a key leader within the Fair & Responsible Banking Compliance team. This role involves leading a group of data scientists and analysts to identify and mitigate fair lending risks while providing guidance on business activities through rigorous data analysis. The successful candidate will build machine learning models across all development phases, including design, training, evaluation, and implementation, while developing processes for responsible data use in credit systems. To achieve these goals, the role utilizes a technical stack including Python, Conda, AWS, H2O, Spark, and relational databases to analyze large volumes of numeric and textual data. The position focuses on solving complex compliance challenges by ensuring fair lending practices are maintained within automated credit processes and AI-driven environments.

Skills

Python AWS H2O Spark Conda R Scala Machine Learning Relational Databases Deep Learning Time Series Sentiment Analysis Clustering Classification Big Data Statistical Modeling

What you'll do

Lead a team of data scientists and analysts to identify and mitigate fair lending and compliance risks.
Perform statistical data analyses and build machine learning models from design through implementation.
Partner with legal experts to provide guidance and approvals for business activities based on data analysis.
Review credit models and policies to ensure responsible development of AI in credit processes.
Use Python, Spark, and AWS to extract insights from large volumes of numeric and textual data.
Translate complex technical findings into tangible business goals to mitigate compliance risks.
Develop and implement fair lending and responsible data use processes for the organization.

What we're looking for

A Bachelor's degree in a quantitative field plus 11 years of experience performing data analytics.
A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 9 years of experience performing data analytics.
A PhD in a quantitative field plus 6 years of experience performing data analytics.
At least 6 years of experience leveraging open source programming languages for large scale data analysis.
At least 6 years of experience working with machine learning.
At least 6 years of experience utilizing relational databases.
At least 4 years of experience managing people.
Experience with Python, Scala, R, AWS, and other tools to analyze large volumes of numeric and textual data.

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