Manager, Data Scientist - Model Risk Office
Not Disclosed•Full-TimeOn-site
location_on200 West Jackson, 200, West Jackson Boulevard, Financial District, Loop, Chicago, South Chicago Township, Cook County, Illinois, 60606, United States
About the Team
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 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.
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.
Work location
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
Key Responsibilities
- check_circleBuild machine learning models to challenge champion models deployed in production
- check_circleValidate a wide variety of models across multiple business domains within the Enterprise Services division
- check_circleLeverage technologies including PyTorch, LangChain, and Vector Databases to analyze multi-modal data
- check_circleContribute to the model governance framework for the next generation of models
- check_circlePresent identified model risks and their business impact to executives
- check_circlePartner with cross-functional teams to identify and quantify risks associated with machine learning models
Requirements
- verifiedBachelor's in quantitative field plus 6 years data analytics OR Master's in quantitative field plus 4 years OR PhD in quantitative field plus 1 year
- verified1+ years experience with open source programming languages for large scale data analysis
- verified1+ years experience with machine learning
- verified1+ years experience with relational or vector databases
- verifiedWork authorization sponsorship available
Nice to Have
PhD in a STEM field plus 3 years of experience in data analytics. At least 1 year of experience working with AWS. At least 4 years' experience in Python, Scala, or R for large scale data analysis. At least 4 years' experience with machine learning, including GenAI. At least 4 years' experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection.
Benefits & Perks
check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circlePerformance-based incentive compensation including cash bonuses and long-term incentives
Similar Job Opportunities
Manager, Data Scientist - Model Risk Office
Capital One • Richmond, Virginia
$179k-225karrow_forward
Senior Associate, Data Scientist - Model Risk Office
Capital One • Richmond, Virginia
$123k-155karrow_forward
Senior Associate, Data Scientist - Model Risk Office
Capital One • Chicago, Illinois
$123k-155karrow_forward
Skills, education and keywords
Skills: Pytorch, Hugging Face, Langchain, Vector Databases, Llmops, Machine Learning, Generative Ai, Genai, Aws, Python.
Education: Bachelor's Degree in a quantitative field required with 6 years experience; Master's Degree in a quantitative field or MBA with quantitative concentration required with 4 years experience; PhD in a quantitative field required with 1 year experience.
Frequently asked questions about Manager, Data Scientist - Model Risk Office at Capital One
What does a Manager, Data Scientist - Model Risk Office at Capital One do?expand_more
Day-to-day, the Manager, Data Scientist - Model Risk Office at Capital One will build machine learning models to challenge champion models deployed in production; validate a wide variety of models across multiple business domains within the enterprise services division; leverage technologies including pytorch, langchain, and vector databases to analyze multi-modal data; and contribute to the model governance framework for the next generation of models.
What are the requirements for this Manager, Data Scientist - Model Risk Office role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's in quantitative field plus 6 years data analytics OR Master's in quantitative field plus 4 years OR PhD in quantitative field plus 1 year; 1+ years experience with open source programming languages for large scale data analysis; 1+ years experience with machine learning; 1+ years experience with relational or vector databases; and Work authorization sponsorship available.
Where is the Manager, Data Scientist - Model Risk Office role at Capital One located?expand_more
Manager, Data Scientist - Model Risk Office at Capital One is based in 200 West Jackson, 200, West Jackson Boulevard, Financial District, Loop, Chicago, South Chicago Township, Cook County, Illinois, 60606, United States. This is a on-site role.
Is this Manager, Data Scientist - Model Risk Office job remote, hybrid, or on-site?expand_more
Capital One has listed this Manager, Data Scientist - Model Risk Office role as on-site.
How much experience is required for this Manager, Data Scientist - Model Risk Office role?expand_more
Manager, Data Scientist - Model Risk Office at Capital One typically requires 1+ years of relevant experience at the senior level.
What skills do you need for the Manager, Data Scientist - Model Risk Office role at Capital One?expand_more
Key skills for Manager, Data Scientist - Model Risk Office at Capital One include Pytorch; Hugging Face; Langchain; Vector Databases; Llmops; Machine Learning; Generative Ai; and Genai.
What education is required for Manager, Data Scientist - Model Risk Office at Capital One?expand_more
Educational requirements for this role: Bachelor's Degree in a quantitative field required with 6 years experience; Master's Degree in a quantitative field or MBA with quantitative concentration required with 4 years experience; and PhD in a quantitative field required with 1 year experience.
What category does the Manager, Data Scientist - Model Risk Office role belong to?expand_more
Manager, Data Scientist - Model Risk Office at Capital One is part of the it job category on Recrutus.