Fraud Risk Data Scientist — Model Risk Office

Capital One National Association; McLean (VA); On-site; USD 161,800 - 184,600; Full time

Benefits offered by this job

Comprehensive health benefits

Performance-based compensation

Inclusive workplace environment

Job summary

Capital One National Association is seeking a Principal Associate, Data Scientist for its Model Risk Office in McLean, VA. The role involves leveraging machine learning to manage model risk associated with Card Fraud models. The ideal candidate will have a Bachelor's degree with a minimum of 5 years of experience in data analytics, proficiency in Python and SQL, and a passion for technical problem-solving. Competitive salary range is $161,800 - $184,600 annually, with performance-based incentives and comprehensive benefits.

Qualifications

• 5 years of experience performing data analytics with a Bachelor's Degree.
• 3 years of experience with a Master's Degree in a quantitative field.
• Experience developing machine learning models through all phases of development.

Responsibilities

• Partner with a cross-functional team to deliver a product customers love.
• Build machine learning models from design through implementation.
• Leverage technologies to reveal insights from large data sets.

Skills

Python

Machine Learning

Data Analytics

SQL

Statistical Modeling

Cloud Computing

Education

Bachelor's Degree in a relevant quantitative field

Master's Degree in a relevant quantitative field or MBA

PhD in a relevant quantitative field

Tools

H2O

Spark

AWS

PySpark

Conda

Job description

Capital One National Association is seeking a Principal Associate, Data Scientist for its Model Risk Office in McLean, VA. The role involves leveraging machine learning to manage model risk associated with Card Fraud models. The ideal candidate will have a Bachelor's degree with a minimum of 5 years of experience in data analytics, proficiency in Python and SQL, and a passion for technical problem-solving. Competitive salary range is $161,800 - $184,600 annually, with performance-based incentives and comprehensive benefits.