Climate & Catastrophe Risk Analyst

Job Title:

Catastrophe Risk Modeller (Natural Perils – EQ, Cyclone, Rainfall)

Location:

Remote / Bengaluru / Mumbai

Type:

Role Overview:

experienced Catastrophe Risk Modellers

Key Responsibilities:

• Develop stochastic event sets for tropical cyclones, earthquakes, and excess rainfall using historical, satellite, and reanalysis datasets.
• Build and calibrate hazard intensity footprints and vulnerability models tailored to Indian and regional geographies.
• Provide loss estimation frameworks for event-based and probabilistic scenarios across various asset classes (property, infrastructure, agriculture, etc.).
• Validate, backtest, and benchmark models using historical catastrophe events and publicly available loss databases.
• Collaborate with actuarial and product teams to support pricing, structuring, and reinsurance placements.
• Create a catastrophe loss database for underwriting, regulatory, and capital modeling purposes (e.g., PMLs, AALs, Return Period Losses).
• Support the development of parametric indices by linking physical event parameters to modeled or observed loss estimates.
• Prepare technical documentation and contribute to regulatory filings and reinsurance submissions.
• Act as a Subject Matter Expert (SME) in discussions with reinsurers and technical partners.

Required Skills & Tools:

• Strong background in catastrophe risk modeling, climatology, or geophysical hazard analysis
• Hands-on experience with CAT modeling tools such as RMS, AIR, CoreLogic, or Oasis LMF
• Proficiency in Python or R for data analysis and model development
• Experience with GIS tools (e.g., QGIS, ArcGIS) and working with raster/geospatial datasets
• Familiarity with reanalysis datasets (e.g., ERA5, MERRA-2) and global hazard databases (e.g., USGS, NOAA IBTrACS, GPM)
• Deep understanding of event simulation, hazard intensity metrics, vulnerability modeling, and financial loss estimation
• Experience estimating Probable Maximum Loss (PML) and Average Annual Loss (AAL)

Preferred / Good-to-Have Skills:

• Exposure to open catastrophe modeling platforms (Oasis, CAPRA, etc.)
• Experience with parametric insurance triggers or index-based products
• Familiarity with machine learning, Bayesian inference, or ensemble forecasting for hazard modeling
• SQL/database design experience for modeling data pipelines
• Knowledge of regulatory frameworks like IFRS 17 or Solvency II

Qualifications:

Education:

Master’s or Ph.D. in any of the following fields:

• Earth Sciences / Atmospheric Sciences
• Applied Mathematics / Physics
• Catastrophe Modelling / Geophysics
• Actuarial Science (with CAT risk focus)
• Environmental Engineering / Remote Sensing / Data Science (with geo-hazard specialization)

Professional Credentials (Preferred):

• Certified Catastrophe Risk Analyst (CCRA)
• Associate or Fellow of IFoA, CAS, IAI with relevant experience
• GARP SCR Certification
• Published research or open-source contributions in hazard or catastrophe modeling

Experience:

• 3–5 years

  in catastrophe modeling or hazard research

• 7+ years

  for senior positions at re/insurers, modeling firms, consulting organizations, or national disaster centers
• Experience with Asia/India-specific perils is a strong plus

Why Join Us?

• Build models from the ground up with full innovation freedom
• Help shape parametric solutions for high-impact, climate-vulnerable regions
• Collaborate with leading reinsurers and satellite data partners
• Competitive compensation, ESOPs, and research-driven culture

If you're passionate about using science and technology to solve real-world climate risks, we’d love to hear from you.