Description
As a Manager, Data Science - Model Risk Office at Capital One, you will lead the validation of payment network business models, including fraud risk, Anti-Money Laundering (AML), Counterparty risk, and financial models.
Responsibilities:
- Perform independent model validations for payment network models
- Validate fraud and AML modeling approaches
- Remain on the leading edge of analytical technology
- Understand relevant business processes and portfolios associated with model use
- Communicate technical subject matter clearly and concisely to individuals from various backgrounds
- Maintain the efficiency and accuracy of models through continuous improvement and application of best practices
- Develop and maintain high-quality and transparent documentation
- Leverage the latest open-source technologies and tools to identify areas of opportunity in the existing framework
The Ideal Candidate:
- Is customer-focused and passionate about doing the right thing
- Is innovative and stays current with emerging technologies
- Is creative and thrives on solving big problems
- Is technically skilled with open-source languages and data science solutions
- Has experience with machine learning, statistical modeling, and data analysis
- Can interpret complex technical concepts and communicate them clearly
Basic Qualifications:
- Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science)
- 6+ years of experience performing data analytics
- Experience with open-source programming languages and machine learning
- Experience working with relational databases
Preferred Qualifications:
- PhD in a STEM field
- Experience working with AWS
- Experience with Python, Scala, or R for large-scale data analysis
- Experience with machine learning
Salary: McLean, VA: $197,300 - $225,100 Riverwoods, IL: $179,400 - $204,700
Benefits: Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits.