Catastrophe modeling Analyst - View of Risk

Aon Corporation; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Aon Reinsurance Solutions in Bangalore is seeking an experienced IND Consultant Reinsurance Solutions to focus on catastrophe modeling and data analysis for risk advisory. The role emphasizes hands-on work with large datasets, statistical methods, and translating technical results to stakeholders.

The ideal candidate has 5+ years in the field, a relevant degree, and proficiency in Python, R, SQL, and MATLAB. This is an in-office position with shift from 7:30 am to 4:30 pm in Whitefield.

Qualifications

• Bachelor's degree in Engineering, Atmospheric Science, or related analytical field.
• 5+ years of experience in catastrophe modeling or risk analytics.
• Strong quantitative and analytical abilities.
• Experience with data handling and large datasets.
• Proficiency in Python, R, SQL, MATLAB, or similar languages; Databricks is a plus.

Responsibilities

• Run catastrophe modeling software to analyze client portfolios for risk evaluation.
• Support model validation, including sensitivity testing and back-testing.
• Analyze large datasets to identify drivers of catastrophe losses.
• Interact with external data sources to validate model components.
• Translate technical findings into clear insights, visuals, and reports.

Skills

Communication

Catastrophe models

Data analysis

Python

R

SQL

MATLAB

Databricks

Education

Bachelor's degree

Tools

Databricks

SQL

MATLAB

GIS

Tableau

Job description

Job Title- IND Consultant Reinsurance Solutions

ARL- 7

Solution Line- Reinsurance Solutions

Position type- Full Time

Work Location- Bangalore, Whitefield

Working style- In Office

Cab Facility- Yes

Shift Time - 07.30 a.m. to 4.30 p.m.

People Manager role: No

Required education and certifications critical for the role-

Any Graduate or Post-Graduate (full time)

Required years of experience -

5+ years of relevant experience

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:

This role is part of the View of Risk Advisory team, with a focus on catastrophe modeling and vulnerability analysis for atmospheric and other natural perils (e.g., wind, severe convective storm, earthquake, etc.), in support of Aon’s evaluation of licensed catastrophe models in the U.S., Canada, and Latin America.

In this role, you’ll bring hands-on experience working with data, whether through coursework, projects, or industry experience. Familiarity with tools like SQL, R, Python, GIS, or Tableau is a plus, especially if you’ve used them to analyze, clean, or validate data in real-world or academic settings. We’re looking for curious minds who enjoy turning information into insight. This is a hands-on analytical role suited to candidates with strong quantitative backgrounds who enjoy working with data, coding, and applied research, and who are eager to learn about catastrophe risk, insurance, and reinsurance.

JOB RESPONSIBILITIES

• Run catastrophe modeling software to analyze client, industry, and notional portfolios to support Aon’s evaluation of licensed catastrophe models in the U.S., Canada, and Latin America under the direction of the View of Risk Advisory Peril Leads.


• Support model validation activities, including sensitivity testing, scenario analysis, and back-testing against historical events and claims.


• Analyze large datasets (including exposure, hazard, and loss data) to identify key drivers of catastrophe losses and model differences.


• Interact with claims data and publicly available data sources from NOAA, USGS, and USFS to validate catastrophe model components.


• Translate complex technical findings into clear, concise insights, visualizations, and reports for internal stakeholders and external clients.


• Digest and summarize technical information from catastrophe model documentation or other scientific research papers.

MANDATORY SKILLS

• Excellent verbal and written communication skills. Knowledge of catastrophe models, insurance and reinsurance concepts.


• At least a Bachelor’s degree (BS) in Structural/Civil Engineering, Atmospheric Science, Earth/Environmental Science, or another technical/analytical discipline


• Strong academic performance with demonstrated quantitative and analytical strength.


• Demonstrated experience working with data, either through coursework, research projects, or industry experience (e.g., handling large datasets, building models, or performing advanced statistical/engineering analyses).
  
  
  
  • Proficiency in at least one of the following: Python, R, SQL, MATLAB, or other similar scientific computing languages. Experience with Databricks is beneficial, but not mandatory.
  
  
  • Some exposure to insurance/reinsurance or risk management concepts is a plus, but not mandatory.
  
  
  
  


• Collaborative, "can-do" attitude with the ability to work effectively in cross-functional, international teams

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.