Senior Data Scientist, Risk & Forecasting

Capital One; Richmond (VA); On-site; USD 123,000 - 155,000; Full time

Benefits offered by this job

Performance-based incentives

Comprehensive benefits

Job summary

Capital One is seeking a Data Scientist to join the Credit Risk Management, Loss Forecasting and Allowance team. You will partner with data scientists, engineers, and product managers to quantify model risks and forecast losses across billions of records.

You will apply Python, Spark, AWS and other tools to build and validate machine learning models, contribute to governance, and present insights to executives. Richmond and McLean locations with competitive compensation.

Qualifications

• Bachelor's or Master's degree in a quantitative field and analytics experience.
• Experience with data analytics and statistical methods.
• Knowledge of cloud platforms and data processing technologies.

Responsibilities

• Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models.
• Leverage Python, Conda, AWS, Spark, and more to reveal insights from data.
• Build statistical/machine learning models and validate them for production use.
• Contribute to model governance for next-gen ML models.
• Present model risks and business impact to executives.

Skills

Python

Scala

R

AWS

SQL

Education

Bachelor's degree in a quantitative field

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

Tools

Spark

Conda

Open-source tools

Job description

Capital One is seeking a Data Scientist to join the Credit Risk Management, Loss Forecasting and Allowance team. You will partner with data scientists, engineers, and product managers to quantify model risks and forecast losses across billions of records.

You will apply Python, Spark, AWS and other tools to build and validate machine learning models, contribute to governance, and present insights to executives. Richmond and McLean locations with competitive compensation.