Principal Associate, Quantitative Analysis
About The Position
Partner with the various lines of business to enhance modeling and analytical framework. Work across Capital One entities to create novel analytical solutions to the challenging business problems. Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies. Collaborate in a cross-disciplinary team to build cloud based solutions grounded in data. Identify opportunities to apply quantitative methods or machine learning to improve business performance. Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers. Provide technical guidance to business leadership. Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
Requirements
- Master’s or foreign equivalent degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Engineering, or a related quantitative field and 3 years of experience in quantitative analytics.
- 3 years of experience in Statistical or econometric modeling.
- 3 years of experience in Linear and logistic regression.
- 3 years of experience in Programming in R, Python, or SQL.
- 3 years of experience in Presenting statistical concepts and research results to a non-statistical audience.
- 3 years of experience in at least 3 of the following skills: Survival analysis modeling; Time-series analysis; Panel data analysis (longitudinal data or cross-sectional time-series data); Cross-sectional data analysis; Machine Learning; Analysis and management of large datasets (at least 1 million records).
- In lieu of a master’s or foreign equivalent degree in the aforementioned fields and 3 years of experience as stated, employer will accept a PhD or foreign equivalent degree in the aforementioned fields and demonstrated proficiency in the skillsets above.
Responsibilities
- Enhance modeling and analytical framework.
- Create novel analytical solutions to challenging business problems.
- Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies.
- Collaborate in a cross-disciplinary team to build cloud based solutions grounded in data.
- Identify opportunities to apply quantitative methods or machine learning to improve business performance.
- Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights and decision frameworks for our business and customers.
- Provide technical guidance to business leadership.
- Communicate technical subject matter clearly and concisely to individuals from various backgrounds.
Benefits
- Eligible for employee referral program.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
