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

Citibank (Switzerland) AG; New York (NY); Hybrid; Confidential; Full time

Job summary

An established industry player is seeking a Model Risk Data Scientist to drive the adoption of innovative AI solutions. This role is pivotal in ensuring that GenAI capabilities meet technical standards and are deployed effectively across the organization. You will collaborate with cross-functional teams, guiding them through the model validation process and enhancing the integration of AI technologies. This opportunity offers a chance to make a significant impact in a dynamic environment, where your expertise will shape the future of banking technology. If you are passionate about AI and want to contribute to groundbreaking projects, this position is for you.

Benefits

Medical coverage

Dental coverage

Vision coverage

401(k) plan

Life insurance

Accident insurance

Disability insurance

Wellness programs

Paid time off

Paid holidays

Qualifications

• Strong background in AI/ML and Data Science required.
• Experience with model validation in financial institutions preferred.

Responsibilities

• Assist teams with implementing GenAI solutions and model validation.
• Collaborate with stakeholders to streamline GenAI adoption.

Skills

Data Science expertise

AI/ML development

NLP development

Model validation

Project management skills

Risk and Controls mindset

Education

Master’s or advanced degree in quantitative fields

Tools

Model validation tools

Job description

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

Apply remote type Hybrid locations New York New York United States Jersey City New Jersey United States time type Full time posted on Posted Yesterday time left to apply End Date: August 1, 2025 (30+ days left to apply) job requisition id 24804080

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

Job Family Group: Technology

Job Family: Data Analytics

Time Type: Full time

Primary Location: New York New York United States

Primary Location Full Time Salary Range: $142,320.00 - $213,480.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Anticipated Posting Close Date: Aug 01, 2025

Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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