Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to provide assurance of the soundness of Capital One’s credit environment and develop new credit insights that would be beneficial to enhance underwriting standards
Job Summary
Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to provide assurance of the soundness of Capital One’s credit environment and develop new credit insights that would be beneficial to enhance underwriting standards.
Leverage a broad stack of technologies — Python, R, Conda, AWS, and more — to reveal the insights hidden within huge volumes of data.
Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication.
Matching Summary
Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to provide assurance of the soundness of Capital One’s credit environment and develop new credit insights that would be beneficial to enhance underwriting standards.
Skills & Requirements
Must-have
credit environment assurance
new credit insights development
Python, R, AWS technologies
machine learning and statistical toolset
communicate technical subject matter
Nice-to-have
leading next wave of disruption
invest in new skills and tools
learn from past mistakes
Key Requirements
Bachelor's degree in a quantitative field
At least 2 years of experience in business analysis
Master's degree in Business or quantitative field
2+ years of experience in working on large data processes
2+ years of experience in SQL and Python programming
3+ years of experience in business analysis
Proficiency in key econometric and statistical techniques