Senior Risk Analyst - Catastrophic Risk Modelling

Analytical & Data Services team provides an integrated suite of data and analytical services and solutions based on catastrophe models, that global insurance and reinsurance clients rely on for making decisions on underwriting, portfolio management, capital management and risk transfer.

The team works with exposure data of a majority of Fortune 500 corporate accounts, analyzing the quality of data, assessing clients- exposure to catastrophic events, and providing insights on loss drivers and distributions, using models. Analysts on the team specialize in data interpretation, data analytics, data quality, financial policy structures, and a deep understanding of sophisticated catastrophe models of perils including earthquake, hurricane, and terrorism.

As a Senior Risk Analyst, you will be responsible for the quantification of catastrophe risk using a variety of databases and models for a client portfolio. The person will be required to understand client requirements for exposure and loss analytics, configure an analytical solution, and report/ present results from the analysis to underwriting and catastrophe modeling teams at insurance/ reinsurance companies.

Key Accountabilities & Deliverables -

- Provide high quality analysis of exposures and losses to enable business decisions at the client-end.

- Understand the in-depth working of models to conduct the appropriate analysis.

- Assess the quality of input data and be able to highlight potential improvements.

- Generate relevant insights from modeled results for an analytically sophisticated stakeholder group.

- Support the client in understanding the analysis output and comparing different model results.

- Document all aspects of a project, particularly focusing on the rationale for decisions and exceptions.

- Drive process improvements which increase utility or efficiency of analysis.

- Mentor and train new risk analysts.

- Interface with client development and other technical teams on client engagements.

Skills:

- Strong analytical and problem solving abilities.

- Strong database and data mining skills - working knowledge of Excel, Access, and SQL; VBA or VB.Net is an added advantage.

- Excellent written and verbal communication.

- Team player

- Mentoring and coaching skills.

Requirements:

- B.E / B. Tech (preferably Civil/Mechanical Engineering) or any graduate .

- MBA Finance/Insurance/Operations Research or Masters in Mathematics/Statistics/Operations Research/Economics / MCA

- 4+ years relevant experience in risk analytics for P&C insurance, reinsurance, or insurance linked securities or business analytics

- Hands-on experience with catastrophe risk models will be an added advantage.

- Prior project / team management experience would be desirable.