# Senior Director, Data Science - Head of Fair Lending Analytics

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $314,800 - $359,300 per year
**Category**: Data Science
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Richmond-VA/Senior-Director--Data-Science---Head-of-Fair-Lending-Analytics---Fair---Responsible-Banking-Compliance_R242470-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_589f8af6-1c0

## Description

As a Senior Director, Data Science - Head of Fair Lending Analytics at Capital One, you will lead a team of data scientists and analysts to identify and mitigate fair lending and related compliance risk. You will partner with Legal department subject matter experts to conduct data analyses of lending decisions and provide guidance, advice, and approvals for business area activities.

In this role, you will:

- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love

- Leverage a broad stack of technologies , Python, Conda, AWS, H2O, Spark, and more , to reveal insights hidden within huge volumes of numeric and textual data

- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

- Translate complex work into tangible business goals and effectively mitigate compliance risks

- Develop and implement fair lending and responsible data use processes at Capital One to enable a winning credit business in an AI world

The ideal candidate is innovative, a leader, technical, statistically-minded, a data guru, and influential.

Basic qualifications:

- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

+ A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics   + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics   + A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related 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

Preferred qualifications:

- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 7 years of experience in data analytics

- At least 1 year of experience working with AWS

- At least 4 years of experience managing people

- At least 6 years of experience in Python, Scala, or R for large scale data analysis

- At least 7 years of experience with machine learning

The salary range for this role is: McLean, VA: $314,800 - $359,300 per year Richmond, VA: $286,200 - $326,700 per year

This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

## Skills

### Required
- Python
- Conda
- AWS
- H2O
- Spark
- machine learning
- relational databases
- data analysis
- statistics

### Nice to have
- people management
- Scala
- R

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Richmond-VA/Senior-Director--Data-Science---Head-of-Fair-Lending-Analytics---Fair---Responsible-Banking-Compliance_R242470-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
