Senior Quantitative Analyst — Model Risk Innovator

Information Technology Senior Management Forum

Riverwoods (IL)

On-site

USD 123,000 - 155,000

Full time

14 days+
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Job summary

Capital One is seeking a Senior Associate, Quantitative Analyst for the Model Risk Office. You will partner with business lines to enhance models, develop analytics across entities, and apply ML and econometric methods to improve performance.

The role requires a Master’s level degree (or MBA with quantitative focus) and 1+ year in statistical modeling, regression, and programming in R/Python/SQL. Strong communication and documentation are essential.

Qualifications

  • Master's degree or MBA with quantitative concentration by start date.
  • At least 1 year of experience in statistical or econometric modeling.
  • Experience with linear and logistic regression.
  • Programming in R, Python or SQL.
  • Ability to present statistical concepts to non-statistical audiences.

Responsibilities

  • Partner with lines of business to enhance modeling and analytical framework.
  • Create analytical solutions across Capital One entities.
  • Apply quantitative methods and automation to improve performance.
  • Collaborate on cloud-based, data-grounded solutions.
  • Communicate modeling or validation results clearly to diverse audiences.

Skills

Quantitative analysis methods
Machine learning
Econometric analysis
Model estimation tools
Communication of results
Model documentation
Written and verbal communication
Presentation skills

Education

Master's degree in quantitative field or MBA with quantitative concentration

Tools

Python
R
SQL

Job description

Capital One is seeking a Senior Associate, Quantitative Analyst for the Model Risk Office. You will partner with business lines to enhance models, develop analytics across entities, and apply ML and econometric methods to improve performance.

The role requires a Master’s level degree (or MBA with quantitative focus) and 1+ year in statistical modeling, regression, and programming in R/Python/SQL. Strong communication and documentation are essential.

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