# Senior Associate, Data Science - Consumer Credit Risk Models and Data

**Company**: Capital One
**Location**: McLean, VA
**Experience**: senior
**Job type**: full-time
**Salary**: $135,600 - $154,800
**Category**: Data Science
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Senior-Associate--Data-Science---Consumer-Credit-Risk-Models-and-Data_R1005173-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-associate-data-science-consumer-credit-risk-63b82dc7-335/

## Description

Data is at the center of everything we do at Capital One. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases. Now, as a Fortune 200 company, we're leading the next wave of disruption using the latest in computing and machine learning technologies.

As a Senior Associate, Data Science on the Consumer Credit Risk Management Models and Data Team, you'll help us build and deploy predictive models for losses, account volumes, and outstanding balances. You'll partner with data scientists, analysts, and engineers to innovate solutions that directly impact the company's bottom line.

**Responsibilities**

- Partner with a cross-functional team to deliver a product customers love

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

- Optimize and deploy machine learning models through all phases of development

- Translate complex work into tangible business goals

**Requirements**

- Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics

- Master's Degree in a quantitative field or an MBA with a quantitative concentration preferred

**Preferred Qualifications**

- Experience working with AWS

- At least 2 years' experience in Python, Scala, or R

- At least 2 years' experience with machine learning

- At least 2 years' experience with SQL

**Benefits**

- Comprehensive, competitive, and inclusive set of health, financial, and other benefits

- Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level

**Salary**

- $135,600 - $154,800 per year

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## Skills

### Required
- Python
- Conda
- AWS
- Spark
- machine learning
- data analytics
- SQL

### Nice to have
- Scala
- R

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Senior-Associate--Data-Science---Consumer-Credit-Risk-Models-and-Data_R1005173-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)