Hybrid Model Risk Data Scientist, Vice President

at Citi

• Job title: Model Risk Data Scientist, Vice President
• Job type: Full Time
• Experience level: Lead
• Salary: $142,320 - $213,480 per year
• Degree requirement: No Education Requirement
• Location requirements: Hybrid, Jersey City, United States

About the role

• Data Scientist specializing in GenAI solutions, collaborating across teams in Citi’s Innovation Labs. Driving model validation and adopting AI capabilities within the bank.

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.

Requirements

• 6-10 years of experience
• 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 principles 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

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays