GenAI Adoption Program - Model Risk Data Scientist - VP - NY/NJ Metro (Hybrid)

GenAI Adoption Program - Model Risk Data Scientist - VP - NY/NJ Metro (Hybrid)

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.

The role is a part of the Citi Innovation Labs in the CTO organization. The organization is focused on delivering cutting edge solutions across Citi's businesses globally.

The types of models and use cases will vary, and the person in this role will be required to work across teams that implement a variety of GenAI solutions that serve different groups and products within the bank. The role will also focus on owning the GenAI book of work and will serve as development teams' center of knowledge on topics related to model validation.

Responsibilities:

• 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.

Preferred Background:

• Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
• 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