Senior Manager, Data Science - Model Risk Office

Capital One

McLean, VA, US
Base: $229,900 - $262,400 annually for mclean, va ...
Hybrid
Python programming for large scale data analysis
Machine learning model development and validation
Experience with aws cloud computing platforms
Capital One is seeking a Senior Manager for their Data Science - Model Risk Office to lead teams in assessing and improving model risk management using advanced analytics. The role emphasizes innovation, creativity, leadership, and a strong technical foundation in data science and machine learning

Job Summary

  • This role involves leading a team of data scientists to challenge current champion models and contribute to the next generation of model governance frameworks.
  • The position requires leveraging a broad stack of technologies including Python, AWS, and Spark to reveal insights from huge volumes of numeric and textual data.
  • Capital One offers a comprehensive benefits package and eligibility for performance-based incentive compensation including cash bonuses and long-term incentives.

Matching Summary

Match Score: 85

Capital One is seeking a Senior Manager for their Data Science - Model Risk Office to lead teams in assessing and improving model risk management using advanced analytics. The role emphasizes innovation, creativity, leadership, and a strong technical foundation in data science and machine learning.

Salary

Base: $229,900 - $262,400 annually for McLean, VA location; Bonus/Equity: Eligible for discretionary or non-discretionary performance based incentive compensation; Benefits: Comprehensive health, financial, and other benefits supporting total well-being

Skills & Requirements

Must-have

  • Python programming for large scale data analysis
  • Machine learning model development and validation
  • Experience with AWS cloud computing platforms
  • Statistical modeling and backtesting techniques
  • Leadership of data science teams

Nice-to-have

  • PhD in STEM field with extensive experience
  • Innovative research on emerging technologies
  • Creative problem solving for undefined problems
  • Passion for talent development and mentorship
  • Experience with H2O and Spark frameworks

Key Requirements

  • Bachelor's degree plus 7 years experience OR Master's plus 5 years OR PhD plus 2 years
  • At least 2 years experience with open source languages for large scale data analysis
  • At least 2 years experience working with machine learning
  • At least 2 years experience utilizing relational databases
  • Preferred: At least 1 year experience managing people

Work Rights

Not specified

Sponsorship: available

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