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

Capital One Financial

Actively hiring Verified listing
Richmond, VA · McLean, VA Posted 11 days ago $314,800$359,300 / year

At a glance

AI generated

TL;DR

The Senior Director of Fair Lending Analytics leads a team of data scientists and analysts within Capital One’s Compliance and Ethics Department, focusing on identifying and mitigating fair lending risks. This role involves developing and implementing processes to ensure responsible use of data in AI-driven credit decisions while collaborating with legal experts to conduct statistical analyses and model reviews. The ideal candidate is an innovative leader with a strong technical background, capable of translating complex analytical work into actionable business goals. They should have extensive experience in large-scale data analysis using languages like Python or R, machine learning, and relational databases, along with a proven track record in managing people and building influential relationships within the financial industry.

Skills

Python Scala R Machine Learning Relational Databases SQL Data Analytics Big Data CI/CD

What you'll do

  • Lead data scientists in conducting statistical analyses and modeling to identify fair lending risks.
  • Develop processes for responsible use of AI in credit decision-making to mitigate compliance risks.
  • Provide guidance on the review of credit models and policies to ensure regulatory compliance.
  • Oversee a team of Compliance professionals, including data scientists, to manage fair lending reviews.
  • Collaborate with Legal department experts to advise on fair lending issues and policy approvals.
  • Translate complex analytical findings into actionable business goals for stakeholders.

What we're looking for

  • At least 6 years of experience in leveraging open source programming languages for large-scale data analysis.
  • At least 6 years of experience working with machine learning and utilizing relational databases.
  • A PhD or Master's degree in a quantitative field plus relevant years of experience in data analytics.
  • Proven ability to lead and manage people, including experienced data scientists.
  • Strong statistical background and expertise in handling big data challenges.
  • Experience in translating complex analytical work into tangible business goals and mitigating compliance risks.

Market check

Salary context

This $314,800–$359,300 range sits above 100% of similar postings on FindRole.

Peer median band

$130,000$220,000

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$146,275$214,500

Middle half of comparable postings.

Based on 239 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 489 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

More like this

Similar roles

Senior Manager, Data Science - Financial Services

Capital One Financial

Plano, Tx, US 53 days ago $209,000$238,500
Python AWS LLM Generative AI CI/CD Docker Kubernetes Terraform PostgreSQL Snowflake Git Jupyter Notebook Scikit-learn TensorFlow PyTorch Prometheus Grafana

Senior Associate, Data Scientist - Financial Services

Capital One Financial

Plano, Tx, US 15 days ago $123,300$140,700
AWS Python R SQL Machine Learning Data Analysis Big Data CI/CD Docker Kubernetes Terraform PostgreSQL Spark Hadoop Git Jupyter Notebook Scikit-learn TensorFlow PyTorch

Associate Director, Commercial Data Science

Amgen

Remote (Us - California - Thousand Oaks, US) 74 days ago $197,041$257,667
Python R Scala Java Databricks AWS CI/CD Git Machine Learning AI Predictive Modeling Deep Learning Causal Inference Reinforcement Learning Generative AI Omnichannel Media Strategy Data Analytics Object-Oriented Programming
Remote