Senior ESG Model Validation Lead

Bloomberg; New York (NY); On-site; USD 145,000 - 175,000; Full time

Job summary

Bloomberg in New York seeks a Model Validation Expert to lead independent validation of ESG Scoring and analytics models. Sitting within the Chief Risk Office as second line of defense, you will assess conceptual soundness, methodological integrity, and implementation accuracy of ESG methodologies and related AI/ML models.

You will communicate findings to leadership, support remediation plans, and help strengthen the firm’s model risk management program while staying aligned with ERR obligations

Qualifications

• PhD in Mathematics, Statistics, Physics, Financial Engineering, Computer Science, Econometrics, or 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 (Python, C++ required).
• Authorized to work in the United States.

Responsibilities

• Lead independent end-to-end validations of ESG scoring and analytics models.
• Assess methodologies for conceptual soundness, data quality, and alignment with rating objectives.
• Evaluate ERR-related obligations and public disclosure for ESG methodologies.
• Evaluate backtesting, benchmarking, sensitivity analysis, and monitoring frameworks.
• Review model documentation for transparency and reproducibility.
• Identify risks from data, drift, overfitting, or bias.
• Provide actionable remediation recommendations and track remediation.
• Present validation conclusions to leadership committees.

Skills

Python

C++

Communication

Quantitative modeling

Education

PhD in quantitative field

Job description

Bloomberg in New York seeks a Model Validation Expert to lead independent validation of ESG Scoring and analytics models. Sitting within the Chief Risk Office as second line of defense, you will assess conceptual soundness, methodological integrity, and implementation accuracy of ESG methodologies and related AI/ML models.

You will communicate findings to leadership, support remediation plans, and help strengthen the firm’s model risk management program while staying aligned with ERR obligations