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MSCI

Offers data, indexes, analytics for investments

Climate Hazard Modeling

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A Ph.D. in Meteorology, Atmospheric Sciences, Oceanography, Hydrology, Physics, Engineering, Mathematics, or a similar subject is required.
  • At least 5 years of experience developing environmental products to meet client requirements is required.
  • Programming experience in Python, R, C/C++, and/or Fortran is required.
  • Experience with cloud-optimized geospatial formats such as Cloud Optimized GeoTIFF (COG), GeoParquet, and related standards is required.
  • Knowledge of Coupled Model Intercomparison Project (CMIP) outputs and its shared socioeconomic pathways is required.
  • Practical experience using AI tools such as Claude Code and Codex to write production scientific code and pipelines is required.

Responsibilities

  • Build physical climate risk models using state-of-the-art methodologies, including AI numerical weather prediction applied to climate applications, stochastic ensembles, earth-observing foundation models, and traditional physics-based models.
  • Collaborate with climate scientists, hydrologists, fire scientists, data scientists, and data engineers to translate business requirements into scientific solutions.
  • Partner with data, cloud, and security teams to design scalable and maintainable scientific modeling pipelines.
  • Foster scientific rigor and excellence in model design, including conducting validation studies to guide continuous model improvement.
  • Lead a team of scientists to architect and implement models for climate risk assessment.
  • Create robust, reproducible physical models that withstand peer review and validate globally in a changing climate.
  • Lead the establishment of standards, methodologies, and techniques for modeling physical risk, including how it changes due to climate change.
  • Organize and facilitate team activities to track work progress, communicate with internal stakeholders in product and sales teams, and align timelines and deliveries with project managers.
  • Coordinate with internal stakeholders as necessary to facilitate product requirements, deadlines, and compute resources.

Desired Qualifications

  • Experience with probabilistic risk products, including catastrophe model outputs, is preferred.
  • Familiarity with financial services and index space is a plus.

About the Company

MSCI

Offers data, indexes, analytics for investments

MSCI provides data, indexes, analytics, and technology solutions for institutional investors, asset managers, and wealth managers across public and private markets. Its index products measure global markets, private asset data offers benchmarks and analytics for illiquid investments, and ESG data, models, and ratings help assess sustainability risk. Risk management and portfolio tools integrate analytics to support asset allocation and personalized portfolios, while research and partnerships broaden access to private market intelligence. The goal is to help clients make informed decisions, manage risk, and grow assets by delivering reliable data and practical tools in a single ecosystem.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1969

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