Description
As a Principal Associate, Data Science in Capital One's Model Risk Office, you will partner with a cross-functional team to identify and quantify risks associated with models.
You will leverage a broad stack of technologies, including Python, Conda, AWS, H2O, and Spark, to reveal insights hidden within huge volumes of numeric and textual data.
Your responsibilities will include:
- Leading teams of data scientists who build machine learning models to challenge current champion models deployed in production
- Contributing to the model governance framework for the next generation of models
- Validating a wide variety of models across multiple business domains
- Presenting identified model risks to executives
The ideal candidate is innovative, creative, a leader, technical, and statistically-minded.
Basic qualifications include:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- A PhD in a quantitative field
Preferred qualifications include:
- Master's Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field
- At least 1 year of experience working with AWS
- At least 3 years' experience in Python, Scala, or R
- At least 3 years' experience with machine learning
- At least 3 years' experience with SQL
In terms of salary, Capital One offers the following ranges:
- Chicago, IL: $147,100 - $167,900
- McLean, VA: $161,800 - $184,600
- New York, NY: $176,500 - $201,400
- Plano, TX: $147,100 - $167,900
This role is also eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
Capital One offers a comprehensive set of health, financial, and other benefits that support your total well-being.