3 months ago

Consultant I- R&D Atmospheric Perils

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Last checked: 15 hours agoStatus: Live

Job Summary

Consultant I in Reinsurance Solutions - Model Dev Research develops probabilistic catastrophe models for atmospheric perils, integrating hazard and scenario modeling, climate data processing, and AI/ML techniques. You’ll design methodologies, collaborate with R&D and software teams, and communicate findings to stakeholders across APAC, US, and Europe to enhance loss calculations and risk assessment for insurance/reinsurance.

Location: Mumbai

Workplace: Onsite

Employment Type: Full time

Job Function: Consulting & Advisory

Seniority: Entry level

Key Responsibilities

•Work as part of a multidisciplinary team to develop and enhance probabilistic catastrophe models for atmospheric perils, with a primary focus on severe convective storms, hailstorms, and tropical cyclones.
•Design and implement hazard and scenario modelling, build event sets and vulnerability components, and integrate models into the loss calculation platform (ELEMENTS).
•Design and implement innovative methodologies to integrate climate change research into catastrophe models for re/insurance industry applications.
•Apply AI and machine learning techniques to enhance hazard modeling, data analysis, and predictive capabilities for atmospheric perils.
•Collaborate with global R&D and software engineering teams through model development, testing, validation, and deployment stages.

Key Requirements

•PhD or Master’s in Atmospheric science, Climate science, Meteorology, Ocean science or a related field.
•2-4 years of relevant experience in insurance or risk assessment industry with proven track record of developing or evaluation of catastrophe models is an advantage.
•Strong foundation in mathematics, probability and statistics.
•Experience with dynamical models or climate models or processing/downscaling large climate data sets is a plus.
•Proficiency in one or more programming languages such as R, Python, or similar, with the ability to develop and implement complex algorithms.

Experience:2-4 yearsInsuranceRisk assessmentCatastrophe models

Education:Master's

Skills:CommunicationProblem-solvingTeamwork

Languages:English

Tech Stack:RPythonArcGISQGIS

Company Brief

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Global professional services firm providing risk, retirement, human resources, and insurance brokerage solutions to clients worldwide, including consulting, reinsurance, and data-driven risk management services.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1982

Glassdoor: 3.9

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