Sr Manager - Risk Analytics

Artex Risk Solutions; Mumbai; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Artex Risk Solutions is seeking a senior Catastrophe Modelling professional to lead the Exposure Analytics function within Gallagher Specialty, delivering RMS and AIR catastrophe modelling reports for multiple business units.

You will cleanse data, validate outputs, and drive analytics opportunities across property lines, ensuring data quality and KPI/SLA adherence while collaborating with stakeholders and expanding capabilities in this fast-growing area.

Qualifications

• 12+ years Catastrophe Modelling experience in Insurer or Broker.
• Experience with RMS Risk Modeler or Risk Link.
• Knowledge of LMP slips, Lloyd's and London Insurance Market.
• Experience using RMS Risklink/Risk Modeler and Verisk AIR data cleansing practices.
• Advanced SQL coding knowledge is essential.
• Python or R programming desirable but not essential.

Responsibilities

• Perform SOV data cleansing and scrubbing.
• Expand client/carrier analytics opportunities.
• Quality control checks on policies entered in Catastrophe Models.
• Rectify errors before delivery to stakeholders.
• Ensure SOPs and data quality standards are followed.
• Meet internal and external KPIs and SLAs.
• Develop new initiatives in analytics for catastrophe modelling.

Skills

Data analysis

Problem solving

Communication

Proactive

Education

Degree in Mathematics/Statistics/Geography/Engineering/Meteorology

DIP CII/ACII

CCRA (desirable)

Tools

SQL

Python

R

Microsoft Excel

Power BI

Arc GIS

RMS Risk Modeler

Risk Link

Verisk AIR

Job description

Job Summary

Play a key role in growing the Exposure Analytics and Catastrophe Modelling function within Gallagher Specialty which will involve taking responsibility for delivering Exposure Analytics Catastrophe Modelling reports (both Moody's RMS and AIR) for the various business units we work with.

Responsibilities

• Performing Schedule of Values (SOV) data cleansing and scrubbing where required.
• Help create new opportunities for the business through the expansion of client and carrier analytics.
• Perform quality control checks on all policies entered the Catastrophe Models across multiple lines of business to ensure data accuracy.
• Ensure any errors found are rectified and correct before delivery of analytics to stakeholders.
• Ensure standard operating procedures and minimum data quality standards are adhered to.
• Ensure internal and external KPIs and SLAs are met.
• Develop new initiatives in this exciting and fast-growing area of the business.

Requirements

• 12+ years previous Catastrophe Modelling experience gained at either an Insurer or Broker.
• Experience should include Property Catastrophe Modelling ideally using RMS Risk Modeler or Risk Link.
• Knowledge of LMP slips the Lloyds and London Insurance Market.
• Experience using Catastrophe Models, in particular RMS Risklink / Risk Modeler.
• Good knowledge of Moody's RMS and Verisk AIR data cleansing coding best practices including when using HD models.
• Good technical understanding of data enrichment, manipulation and data cleansing best practices.
• Ability to work quickly and precisely with large data sets.
• A keen interest in data and Natural Catastrophes.
• Self-Motivated.
• Good communication and presentation skills.
• Proactive in finding solutions to problems without waiting to be prompted by others.
• Good MS Office skills, particularly Microsoft Excel and ideally Power BI.
• Knowledge of GIS software such as Arc GIS.
• Advanced SQL coding knowledge is essential for this role.
• Python or R programming knowledge is desirable but not essential.

Qualifications

• Educated to degree level in a subject such as Mathematics, Statistics, Geography, Engineering or Meteorology.
• Professional qualifications such as a DIP CII or ACII or a desire to take them.
• CCRA qualification is desirable but not essential.

Skills

• SQL
• Python
• R
• Microsoft Excel
• Power BI
• Arc GIS
• RMS Risk Modeler
• Risk Link
• Verisk AIR