Principal Associate, Data Science - Model Risk Office

Responsibilities

• Partner with cross-functional teams of data scientists, software engineers, and product managers to identify and quantify model risks
• Leverage technologies including Python, Conda, AWS, H2O, and Spark to extract insights from large-scale numeric and textual datasets
• Lead teams of data scientists in building machine learning models to challenge production champion models
• Contribute to the model governance framework for next-generation models
• Lead validation of diverse models across multiple business domains and present risk impacts to executives

Requirements

• Bachelor's Degree in a quantitative field (Statistics, Economics, Math, CS, etc.) plus 5 years of data analytics experience
• OR Master's Degree in a quantitative field plus 3 years of data analytics experience
• OR PhD in a quantitative field
• Proficiency with Python, Scala, or R
• Experience with machine learning techniques (clustering, classification, time series, deep learning, etc.)
• Experience with SQL and cloud computing platforms such as AWS

Preferred Qualifications

• Master's Degree or PhD in a STEM field
• At least 1 year of experience working with AWS
• At least 3 years of experience in Python, Scala, or R
• At least 3 years of experience with machine learning
• At least 3 years of experience with SQL

Benefits

• Comprehensive and inclusive health, financial, and well-being benefits
• Performance-based incentive compensation, including potential cash bonuses or long-term incentives

About the Company

Capital One is a Fortune 200 leader in data-driven decision-making. We use cutting-edge computing and machine learning technologies to help everyday people manage their financial lives more effectively.