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Manager, Data Scientist - Model Risk OfficeCapital One • Chicago, Illinois, United States
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Manager, Data Scientist - Model Risk Office

Capital One
  • US
    Chicago, Illinois, United States
  • US
    Chicago, Illinois, United States
Postuler Maintenant

À propos

Manager, Data Scientist – Model Risk Office Team Description 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.
Role Description 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.
Leverage a broad stack of technologies – from foundational frameworks (PyTorch, Hugging Face) to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more – to reveal the insights hidden within huge volumes of multi‑modal data.
Build machine learning models to challenge “champion models” that are deployed in production today and contribute to the model governance framework for the next generation of models.
Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives.
The Ideal Candidate is:
Innovative. You continually research and evaluate emerging technologies. You stay current on published state‑of‑the‑art methods, technologies, and applications and seek out opportunities to apply them.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
Technical. You’re comfortable with open‑source languages and are passionate about developing further. You have hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.
Statistically‑minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date.
A Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics.
A Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics.
At least 1 year of experience leveraging open‑source programming languages for large‑scale data analysis.
At least 1 year of experience working with machine learning.
At least 1 year of experience utilizing relational or vector databases.
Preferred Qualifications
PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) 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.
Location and Salary Chicago, IL: $179,400 – $204,700 for Mgr, Data Science McLean, VA: $197,300 – $225,100 for Mgr, Data Science Richmond, VA: $179,400 – $204,700 for Mgr, Data Science
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.
Employment Authorization Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Equal Opportunity Statement Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws.
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  • Chicago, Illinois, United States

Compétences linguistiques

  • English
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