
location_on200 West Jackson, 200, West Jackson Boulevard, Financial District, Loop, Chicago, South Chicago Township, Cook County, Illinois, 60606, United States
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases in 1988. Fast-forward a few years, and this little innovation and our passion for data have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you'll be part of a team leading the next wave of disruption at a whole new scale. You will use the latest in computing and machine learning technologies, operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.
The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence.
In this role, you will partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of multi-modal data and build machine learning models to challenge "champion models" deployed in production today. Additionally, you will contribute to the model governance framework for the next generation of models and validate a wide variety of models across multiple business domains within our Enterprise Services division. You will flex your interpersonal skills to present how identified model risks could impact the business to executives.
This role is expected to accept applications for a minimum of 5 business days. No agencies please. If you require an accommodation to apply, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Work model: On-site
200 West Jackson, 200, West Jackson Boulevard, Financial District, Loop, Chicago, South Chicago Township, Cook County, Illinois, 60606, United States
Chicago, Illinois
Master's Degree or PhD in a STEM field (Science, Technology, Engineering, or Mathematics). Experience working with AWS. At least 2 years' experience in Python, Scala, or R for large scale data analysis. At least 2 years' experience with machine learning.
Capital One • Richmond, Virginia
Capital One • Chicago, Illinois
Capital One • Richmond, Virginia
Skills: Pytorch, Hugging Face, Langchain, Vector Databases, Llmops, Aws, Python, Scala, R, Machine Learning.
Education: Bachelor's Degree in a quantitative field required; Master's Degree in a quantitative field or MBA with quantitative concentration required; Master's Degree in STEM field preferred.