Model Validation Expert

USD 145,000-175,000 per year
SENIOR
✅ On-site

Tech Stack

AI @ 6 Communication @ 6 Compliance IFRS @ 6 Machine Learning @ 6 Mathematics @ 6 Matlab @ 6 Performance Monitoring Python @ 6 R @ 6 Statistics @ 6 Stress Testing

Details

Position Overview

Bloomberg is seeking a Model Validation Expert to lead independent validation of its ESG Scoring and analytics models. The role sits within the Chief Risk Office as a second line of defense and supports Bloomberg’s Model and Methodology Risk Management program as the firm addresses its obligations under the EU ESG Ratings Regulation (ERR).

This senior technical role focuses primarily on ESG Scoring and ESG analytics models, with potential coverage of related quantitative, AI/ML, and data-driven models across the firm. The position operates at the intersection of quantitative analysis, regulatory compliance, and ESG data governance to ensure that models are fit for purpose, methodologically defensible, and aligned with internal risk standards and ERR obligations.

Responsibilities

  • Lead independent, end-to-end validations of Bloomberg’s ESG Scoring and analytics models.
  • Assess ESG scoring methodologies for conceptual soundness, data source quality, weighting approaches, aggregation logic, and alignment with stated rating objectives, including ERR disclosure and methodology transparency requirements.
  • Evaluate compliance with ERR model-related obligations, including methodology documentation standards and public disclosure requirements for ESG rating methodologies.
  • Evaluate backtesting, benchmarking, sensitivity analysis, stress testing, and ongoing performance monitoring frameworks.
  • Review model documentation for transparency, reproducibility, and appropriate articulation of assumptions and limitations.
  • Identify model risks arising from data dependencies, parameter instability, model drift, overfitting, bias, or inappropriate use.
  • Issue clear validation findings, risk ratings, and actionable remediation recommendations.
  • Monitor remediation plans and re-validation activities to ensure sustainable risk reduction.
  • Prepare and present validation conclusions to leadership committees and governance forums.
  • Partner with Engineering, Product, Quants, and Risk Advisors to strengthen model development standards and lifecycle controls while maintaining independence.
  • Contribute to the evolution of the firm’s model validation standards, methodologies, and best practices.
  • Stay current with regulatory developments under ERR, emerging ESG data and analytics standards, and quantitative methods relevant to ESG scoring and model risk management.

Requirements

  • PhD in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, Econometrics, or a related quantitative field.
  • 10+ years of experience in quantitative modeling, model validation, or model risk management.
  • Deep expertise in pricing, risk, statistical, and/or AI/ML models.
  • Excellent programming skills in Python and C++; R, MATLAB, or similar languages are a plus.
  • Demonstrated ability to independently challenge complex mathematical and machine learning models.
  • Excellent communication skills, including the ability to translate technical findings into executive insights.
  • Authorized to work in the United States.

Preferred Qualifications

  • Familiarity with the EU ESG Ratings Regulation (ERR), including model governance, methodology transparency, disclosure requirements, and broader model risk frameworks such as SR 11-7 and SR 26-2.
  • Experience engaging with regulators on model risk or ESG rating topics, including ESMA or national competent authorities under ERR.
  • Relevant professional certifications such as CFA or FRM.
  • Exposure to ESG data, sustainability frameworks such as GRI, SASB, TCFD, and ISSB/IFRS S1-S2, or ESG ratings methodology development or review.

Core Competencies

  • Strong intellectual curiosity, commitment to technical excellence, and ability to operate with integrity in a fast-paced environment.
  • Passion for advancing risk governance while enabling innovation in finance and technology.
  • Exceptional analytical rigor and independent judgment.

Benefits

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.

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