Senior Data Scientist - Financial Risk Modeling

Capital One Group; Plano (TX); In loco; USD 147.000 - 168.000; Tempo pieno

Descrizione del lavoro

Capital One is seeking a Principal Associate Data Scientist in Plano, TX to advance consumer risk modeling using a modern tech stack. You will partner with data scientists, engineers, and product managers to deliver customer-centric analytics and scalable ML solutions in a regulated financial services environment.

You will develop models end-to-end, apply AWS, Python, and Spark, and translate technical results into business actions that save money and time for customers.

Competenze

• Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics
• Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, CS) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
• PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, CS)

Mansioni

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Conoscenze

Python

Scala

R

SQL

AWS

Machine learning

Formazione

Bachelor's Degree in a quantitative field

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

PhD in a quantitative field

Descrizione del lavoro

Capital One is seeking a Principal Associate Data Scientist in Plano, TX to advance consumer risk modeling using a modern tech stack. You will partner with data scientists, engineers, and product managers to deliver customer-centric analytics and scalable ML solutions in a regulated financial services environment.

You will develop models end-to-end, apply AWS, Python, and Spark, and translate technical results into business actions that save money and time for customers.