Senior Quantitative Analyst, Model Risk Office

Capital One

McLean (VA)

On-site

USD 136,000 - 155,000

Full time

2 days ago
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Job summary

Capital One is a data-driven organization applying statistical modeling and machine learning to billions of customer records. As a Sr Assoc, Quantitative Analysis, you will work with model development and model risk teams to advance the Loan Loss Forecasting and ACL framework in a cloud-based environment.

You will collaborate across lines of business to create analytical solutions, apply quantitative methods to improve performance, and clearly communicate results to both technical and

Qualifications

  • Master’s degree (or MBA with quantitative concentration) required by start date.
  • At least 1 year of experience in statistical/econometric modeling, regression, and programming.
  • Experience in survival analysis, time-series, ML, and large datasets is a plus.

Responsibilities

  • Partner with the lines of business to enhance modeling framework.
  • Develop novel analytical solutions across Capital One entities.
  • Identify opportunities to apply quantitative methods and automation to improve performance.
  • Collaborate in a cross-disciplinary team to build cloud-based data solutions.
  • Communicate modeling results to non-statistical audiences.

Skills

Quantitative analysis
Machine learning
Econometric analysis
Model estimation tools
Communication skills

Education

Master’s degree in Statistics/Economics/OR/Analytics/CS or MBA with quantitative concentration

Tools

R
Python
SQL

Job description

Capital One is a data-driven organization applying statistical modeling and machine learning to billions of customer records. As a Sr Assoc, Quantitative Analysis, you will work with model development and model risk teams to advance the Loan Loss Forecasting and ACL framework in a cloud-based environment.

You will collaborate across lines of business to create analytical solutions, apply quantitative methods to improve performance, and clearly communicate results to both technical and

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