Senior AI/ML Model Validation & Governance Specialist

Resourceful Talent Group

Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree in a quantitative discipline (math, statistics, data science, etc.).
  • Minimum 4 years in model validation or AI/ML governance.
  • Proven ability to validate predictive and AI/ML models independently.
  • Strong skills in Python and SQL programming.
  • Experience with model monitoring, bias testing, and explainability analysis.
  • Understanding of model risk principles in regulated environments.
  • Experience in financial services or similarly regulated industries.

Responsibilities

  • Perform independent validation of advanced analytical models.
  • Evaluate model methodology and data quality comprehensively.
  • Conduct performance testing including benchmarking and stress testing.
  • Assess models for explainability, fairness, and compliance with regulations.
  • Utilize structured and unstructured data for model reviews.
  • Evaluate governance controls and performance thresholds.
  • Document findings and communicate them effectively to stakeholders.

Benefits

  • Hybrid work environment with 3 days onsite in NYC.
  • 10% annual bonus potential.
  • Sign-on bonus available.
  • Opportunities for career growth in a reputable organization.
  • Engagement with cutting-edge AI/ML technologies.
Full Job Description
We are seeking an experienced AI/ML Model Validation and Governance professional to join a highly established financial services organization in New York. This is a full-time hybrid opportunity based in New York City (3 days onsite per week) offering a base salary of up to $210,000, a 10% annual bonus, and a sign-on bonus.

This position will independently evaluate predictive, machine learning, Generative AI, and other advanced analytical models. The ideal candidate combines strong quantitative skills, hands-on Python and SQL experience, and a thorough understanding of model risk management within a regulated environment.

Key Responsibilities

  • Perform independent validation of predictive, statistical, AI/ML, and Generative AI models.
  • Evaluate model methodology, assumptions, data quality, implementation, performance, limitations, and intended use.
  • Conduct benchmarking, sensitivity analysis, stress testing, and performance testing.
  • Assess model explainability, bias, fairness, robustness, and regulatory compliance.
  • Review models using structured and unstructured data, including NLP, LLM, and RAG-based solutions.
  • Evaluate model monitoring frameworks, performance thresholds, and governance controls.
  • Document findings clearly and communicate recommendations to model developers, business stakeholders, risk teams, and senior management.
  • Support the continued development of AI governance and model risk standards.


  • Advanced degree in mathematics, statistics, computer science, data science, engineering, economics, or another quantitative discipline.
  • At least 4 years of direct experience in model validation, model risk management, or AI/ML governance.
  • Hands-on experience independently validating predictive or AI/ML models.
  • Strong Python and SQL skills.
  • Experience with benchmarking, explainability, bias and fairness testing, sensitivity analysis, and ongoing model monitoring.
  • Understanding of model risk management principles and regulatory expectations.
  • Experience working in financial services, insurance, banking, or another regulated industry.
  • Strong written and verbal communication skills.
  • Ability to work onsite in New York City three days per week.

Preferred Qualifications

  • Experience validating Generative AI, LLM, NLP, or RAG-based solutions.
  • Familiarity with AI governance and responsible AI frameworks.
  • Experience with structured and unstructured datasets.
  • Knowledge of SR 11-7 or comparable model risk management guidance.
  • Experience presenting validation findings to senior stakeholders or governance committees.

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