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 computing and machine learning technologies.
The Capital One Model Risk Office safeguards the company from model failures while enhancing decision-making through models, including those associated with Generative AI (GenAI). We're seeking a Manager, Data Scientist to join our team.
Role Description
As a Manager, Data Scientist in the Model Risk Office, you will:
- Partner with cross-functional teams to identify and quantify model risks
- Leverage various technologies, such as PyTorch, Hugging Face, LangChain, and Vector Databases, to analyze multi-modal data
- Build machine learning models to challenge existing champion models and contribute to the model governance framework
- Validate models across multiple business domains and present findings to executives
The Ideal Candidate
- Is innovative, staying current with emerging technologies and state-of-the-art methods
- Is creative, defining big problems and finding answers
- Is technical, with hands-on experience in open-source languages and cloud computing platforms
- Is statistically-minded, with experience building, validating, and backtesting models
- Is a data guru, skilled in retrieving, combining, and analyzing data from various sources
Basic Qualifications
- A Bachelor's, Master's, or PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related)
- Experience performing data analytics
- Experience with open-source programming languages for large-scale data analysis
- Experience working with machine learning
- Experience utilizing relational or vector 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, including GenAI
- Experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection
Salary Information
- Chicago, IL: $179,400 - $204,700
- McLean, VA: $197,300 - $225,100
- Richmond, VA: $179,400 - $204,700
Benefits
Capital One offers a comprehensive set of health, financial, and other benefits that support your total well-being.