Climate Hazard Modeling VP

MSCI

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$173,000–$225,000 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $199k
$156k $260k
below market most similar roles pay here above market

This role pays less than 55% of similar roles. Most pay $170,000–$246,150 — the blue band above. At the midpoint, this role pays about $199k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About MSCI

MSCI is a US-based provider of investment decision support tools, including equity indexes, portfolio risk and performance analytics, and ESG research used by institutional investors worldwide.

MSCI currently has 15 open roles on FindRole.

Listed pay typically runs $128,000–$205,000 across 15 roles with salary data.

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At a glance

TL;DR · Climate Hazard Modeling VP

The Climate Hazard Modeling, VP leads a team of scientists to architect and implement robust, reproducible physical models for climate risk assessment. You will build and maintain scientific modeling pipelines using state-of-the-art methodologies, including AI numerical weather prediction, stochastic ensembles, earth observing foundation models, and traditional physics-based models. Daily responsibilities involve translating business requirements into scientific solutions, establishing standards for modeling physical risk, and coordinating with data, cloud, and security teams. Required expertise includes a Ph.D. in a relevant scientific field and proficiency in Python, R, C/C++, and Fortran. You must understand cloud-optimized geospatial formats like COG and GeoParquet, CMIP outputs, and shared socioeconomic pathways. The role solves the technical challenge of quantifying how climate change impacts physical risks globally.

What you'll do

  • Build physical climate risk models using AI numerical weather prediction, stochastic ensembles, and physics-based models.
  • Lead a team of scientists to architect and implement models for climate risk assessment.
  • Create robust, reproducible physical models that withstand peer review and global validation.
  • Establish standards, methodologies, and techniques for modeling physical risks related to climate change.
  • Design scalable and maintainable scientific modeling pipelines with data, cloud, and security teams.
  • Conduct validation studies to ensure scientific rigor and continuous improvement of model designs.
  • Organize team activities to track work progress and align timelines with project managers and stakeholders.
  • Translate business requirements into scientific solutions for product and sales teams.

What we're looking for

  • Ph.D. in Meteorology, Atmospheric Sciences, Oceanography, Hydrology, Physics, Engineering, Mathematics, or a similar subject.
  • 5+ years of experience developing environmental products to meet client requirements.
  • Experience developing probabilistic risk products, such as catastrophe model outputs (preferred).
  • Programming experience in Python, R, C/C++, and/or Fortran.
  • Experience with cloud optimized geospatial formats such as Cloud Optimized GeoTIFF (COG) and GeoParquet.
  • Knowledge of the Coupled Model Intercomparison Project (CMIP) outputs and shared socioeconomic pathways.
  • Practical experience using AI tools for writing production scientific code and pipelines.
  • Familiarity with financial services and index space (preferred).

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