Model Risk Data Scientist, Innovation Labs, Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$142,320–$213,480 / yr
Posted
25 days ago
Closes
Jul 8, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $176k
This role $178k
$114k most similar roles pay here $231k

This role pays more than 64% of similar roles. Most pay $155,000–$198,000 — the shaded band above. At the midpoint, this role pays about $178k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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At a glance

TL;DR · Model Risk Data Scientist, Innovation Labs, Vice President

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Citi's Innovations Labs in the CTO organization is seeking a GenAI Model Risk Data Scientist to join their team at a senior level. This role involves collaborating with data scientists, engineers, and product managers to ensure that generative AI capabilities meet technical criteria for risk reduction and production deployment across various business units. Day-to-day responsibilities include assessing model soundness, evaluating metrics, classifying materiality, and managing the lifecycle of GenAI solutions. The ideal candidate will have 6-10 years of experience in quantitative fields such as mathematics or computer science, with a strong background in AI/ML development and preferably NLP expertise. Knowledge of AI risk principles and hands-on model validation experience in financial institutions is highly valued. This role requires a deep understanding of GenAI processes and the ability to educate teams on validation procedures while maintaining relationships with governance stakeholders.

Skills

Python SQL AI/ML NLP Model Validation GenAI Data Science Risk Management Financial Services Experience CI/CD

What you'll do

  • Assess the soundness of GenAI solutions from a data-science perspective.
  • Streamline adoption and reduce friction for successful production deployment.
  • Maintain and own the book of work for eligible GenAI use-cases.
  • Prepare initial submissions for model validation during pre-identification phase.
  • Communicate with governance stakeholders to refine policies and address inefficiencies.
  • Monitor and maintain inventory data and lifecycle of GenAI solutions.
  • Educate development teams on the model validation process.

What we're looking for

  • 6-10 years of experience in AI/ML development as a Data Scientist or similar role.
  • Master’s degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, etc.
  • Strong knowledge and hands-on experience with model validation in financial institutions.
  • Experience in GenAI Model validation or AI/ML Model validation.
  • Risk and controls mindset for operationalizing cutting-edge AI capabilities.
  • Expertise in NLP development (strongly preferred).
  • Collaboration skills to streamline GenAI adoption across diverse teams.

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