Model Risk Data Scientist, Citi

Citi

Location:
United States, New York ▼
Jersey City

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The Model Risk Data Scientist position is for a professional who would like to make a wide-scale impact at Citi by using their Data Science expertise and business acumen to help operationalize cutting-edge AI capabilities for the bank. The position is focused on working with Data Scientists, Engineers, and Product Managers to ensure that GenAI capabilities are developed to meet technical criteria to reduce risk for Citi and hence can be deployed for production usage. This will entail collaborating with developers and business stakeholders during the entire lifecycle of solution development, including validation and periodical reviews. Overall, the professional in this role will be a key contributor to the design of GenAI-related processes across the entirety of Citi.

Job Responsibility:

Assist development teams with implementing new GenAI solutions from identification through validation phases, including assessing the soundness of the solution from data-science perspective, metric evaluation, materiality classifications, model exposure, model limitations, and scope of usage
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi, reducing overall friction in development teams’ successful production deployment
Own and maintain GenAI solution book of work for eligible GenAI use-cases
During pre-identification phase of models, assist with preparations for internal discussions and initial submission for model validation, considering object/model characteristics and potential challenges in the process
Own relationships with governance-related stakeholders
Communicate and coordinate with the model risk validation team on refining the group’s policy or procedural changes and addressing recurring validation inhibitors or inefficiencies you would identify throughout the process
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

Requirements:

Master’s or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science
AI/ML development experience in a Data Scientist role or similar – A Must
NLP development experience in a Data Scientist role or similar – Strongly preferred
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution – Preferred
Experience in GenAI Model validation or AI/ML Model validation – Preferred
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution – Preferred
Strong organizational and project management skills
Risk and Controls mindset

Nice to have:

Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
Experience in GenAI Model validation or AI/ML Model validation
Experience in a quantitative role in the Financial Markets/Banking/Insurance
Experience in Risk capacity at a financial services/insurance institution

What we offer:

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages: planned time off, unplanned time off, paid holidays

Additional Information:

Job Posted:
July 23, 2025

Expiration:
September 22, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Model Risk Data Scientist