Job code-

Job Title- IND Sr Consultant I Reinsurance Solutions - Model Dev Research

ARL- 6.1

Solution Line- Reinsurance Solutions

Position type- Full Time

Work Location- Bangalore, Whitefield

Working style- In Office (Hybrid) / Virtual

Cab Facility- Yes

Shift Time - 08.30 PM to 05.30 PM

People Manager role: No

Required education and certifications critical for the role-

PhD or Master's in Atmospheric science, Climate science, Meteorology, Ocean science or a related field.

AON IS IN THE BUSINESS OF BETTER DECISIONS

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are committed as one firm to our purpose, united through trust as one inclusive, diverse team and we are passionate about helping our colleagues and clients succeed.

INFORMATION ABOUT THE BUSINESS

Aon Reinsurance Solutions is the world's leading reinsurance intermediary and full-service capital advisor. Reinsurance Solutions Analytics offers clients industry-leading Catastrophe Management, Impact Forecasting, Rating Agency Practice, Product Development and Research, Actuarial & ReMetrica support.

GENERAL DESCRIPTION OF ROLE:

Aon Impact Forecasting (IF) is looking for an experienced atmospheric perils specialist to drive the development and enhancement of complex natural catastrophe risk assessment models, which are used by insurers and reinsurers to quantify natural hazard risk and potential losses. This is a fulltime individual contributor role based in India, preferably in Bangalore. Hybrid or virtual work arrangements may be available in line with Aon's policies. The primary focus is on probabilistic models for atmospheric perils such as severe convective storms, tropical cyclones, winter storms, and extreme rainfall etc

JOB 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. This includes designing and implementing hazard and scenario modelling, building event sets and vulnerability components, and integrating 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.
Work with large meteorological and climate datasets (e.g., reanalysis, model outputs, radar/satellite and observational data) including processing, quality control, and basic analysis.
Collaborate closely with Impact Forecasting R&D and software engineering teams throughout model development, testing, validation, and deployment stages.
Proactively engage with stakeholders-including global R&D and analytics teams, brokers, clients, and academic partners across APAC, US, and Europe-to exchange expertise and ensure alignment.
Stay up-to-date on developments in atmospheric perils, climate change research, and AI/ML applications within the field, and proactively share relevant insights with the team.
Help clients and stakeholders improve model understanding and adoption by producing clear technical materials such as presentations, technical documents, and white papers.

SKILLS/COMPETENCIES REQUIRED:

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.
Experience with AI and machine learning techniques applied to catastrophe risk or hazard modeling 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.
Basic skills in spatial data analysis using ArcGIS/QGIS or any other software.
Proven ability to work effectively in a team as well as independently, with strong analytical and problemsolving skills and the ability to manage projects and meet deadlines.
Strong interpersonal and communication skills (written and verbal) in English, with the ability to interface confidently with stakeholders at different levels and across business units.
Experience in severe convective storm and hail hazard modeling, using radar and other highresolution observational datasets, will be considered an advantage.

HOW WE SUPPORT OUR COLLEAGUES

In addition to our comprehensive benefits package, we are proud to be an equal opportunity workforce. At Aon, we believe a diverse workforce is an innovative workforce. Our agile, inclusive environment allows colleagues to manage their wellbeing and work/life balance while empowering you to be your authentic self.

Furthermore, all colleagues enjoy two Global Wellbeing Days each year, encouraging them to take time to focus on themselves. We offer a variety of workstyle options through our Smart Working model, but we also recognize that flexibility goes beyond just the place of work... and we are all for it!

Our continuous learning culture inspires and equips colleagues to learn, share and grow, helping them achieve their fullest potential. As a result, Aon colleagues are more connected, more relevant and more valued.

2578629

Sr. Consultant - R&D Atmospheric Peril