Associate Director CAT modelling Bangalore

Directly lead an experienced team of several catastrophe modelers to prioritize deliverables and key projects to be completed.

Establish and cultivate strong relationships with internal and external stakeholders to deliver timely insightful and actionable catastrophe analytics.

Update management on current technical and industry trends related to cat modeling.

Critically assess accuracy and performance of the catastrophe models. Work with various stakeholders in implementing models enhancements specific to the niche products.

Research develop and present critical insights and new ways to understand the portfolio in addition to pre-existing measurements and techniques.

Educate various stakeholders regardless their area of expertise on cat management topics.

Communicate the impact of the emerging catastrophe modeling tools to management.

Manage the model changes from technical and analytical perspective. Communicate the impact on the company risk appetite reinsurance purchasing needs and pricing Primary Insurance

Manage regular catastrophe roll-up process and reporting of the various lines/units of business. Engage various stakeholders counterparts to communicate the unit results.

Perform and lead Quarterly Portfolio aggregation modeling and reporting of risk metrics including reasoning of Quarterly and Yearly changes in Exposures and AAL/PML

Independently supervise and perform complex catastrophe modeling analyses. Translate the modeling output into actionable recommendations to enhance underwriting and pricing models.

Conduct Ad hoc analyses of issues related to Catastrophe and book management.

Assess exposure data quality and its impact on cat management results. Continuously work on improving quality of the modeling data utilizing both internal and third-party data sources.

Identify and lead automation opportunities of routine processes and workflows to enhance productivity and service levels.

Reinsurance Lead Reinsurance modeling team that provides support to the Underwriters across different offices with assessing the Catastrophe PML risk and Expected Losses on modeled basis for multiple cedants with exposures spread across the globe.

Guide the modeling team in assessing the Vendor Model changes on the Reinsurance portfolio and other change management requests.

Liaise with the stakeholders on a continuous basis to evaluate and incorporate process enhancements.

Qualifications :

Expert knowledge of RMS catastrophe models. Knowledge of AIR RQE any other models is a plus.

15 years of experience in catastrophe modeling of large property portfolios using RMS or AIR products. Experience in working with high value properties is preferred.

7 years management experience with proven record of leading a sizeable team successfully.

Expert level skills with manipulating large complex datasets including advanced knowledge of SQL MS Excel and Access products and MS SQL server.

Excellent critical thinking analytical and problem-solving skills strengthened by the ability to effectively plan and manage multiple projects.

Excellent written and verbal communication skills with the ability to simplify and communicate highly specialized and technical concepts to business leaders.

Knowledge of geospatial products and techniques is a plus.

Data visualization and business intelligence

Bachelors degree (or equivalent) in mathematics geography engineering or other like areas.

Previous managerial experience preferred

Engineering or advanced degree in Mathematics Statistics or MBA. Professional certificates like ARe CPCU CCRA etc. are advantageous.

Expertise in Data Analytics/Insurance/Reinsurance/Modeling.

Proficiency in Data Analytics tools like R Python would be a plus.

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1