Rekha Kishore
Analytics & Modelling, Senior Analyst
Chennai,TN
Summary
Actuarial analytics professional with 6 years of experience supporting Property & Casualty pricing through robust data engineering, model development, and automation. Strong hands-on experience migrating SAS-based pricing models to Python and building scalable analytics solutions. Advanced skills in SQL, Snowflake, and ETL automation, enabling Zero-Touch reporting and efficient actuarial workflows. Adept at partnering with pricing actuaries to translate actuarial methodologies into reliable, cloud-based analytics and reporting solutions.
Overview
6
6
years of professional experience
Work History
Analytics & Modelling, Senior Analyst
Accenture
06.2022 - Current
- Developed, validated, and maintained actuarial pricing models for insurance products using SAS, supporting rate indications and pricing decisions.
- Migrated legacy SAS pricing models to Python, ensuring model consistency, accuracy, and alignment with actuarial assumptions.
- Led migration of actuarial data models and pricing analytics workflows from on-premise systems to the Snowflake cloud environment.
- Designed and optimized ETL pipelines using Snowflake SQL and Snowpark to support scalable pricing and experience analysis.
- Developed complex SQL transformations to process large policy, claims, and exposure datasets and generate pricing and monitoring outputs.
- Designed and implemented automation solutions to replace manual pricing and actuarial reporting tasks.
Senior Associate
Chubb
11.2019 - 06.2022
- Designed and managed a centralized Actuarial Pricing Data Hub to support Property & Casualty pricing, rate adequacy analysis.
- Extracted data from multiple policy, claims, exposure, and rating factor SQL sources; performed actuarial transformations and loaded curated datasets into a pricing data warehouse.
- Developed and maintained SSIS ETL pipelines to enable incremental loads, historical restatements, and reproducible pricing datasets for actuarial models.
- Automated monthly Rate Monitoring and Pricing Performance reports using Python, covering loss ratios, rate change impact, premium trends, exposure movements, and mix effects; achieved full Zero-Touch Automation.
- Built automated experience analysis datasets to support indication analysis, rate reviews, and filing support for P&C lines.
Education
Master of Science - Statistics
04.2001 -
Skills
Pricing Model Development & Conversion (SAS to Python, Model Validation & Reconciliation)
Timeline
Analytics & Modelling, Senior Analyst - Accenture
06.2022 - Current
Senior Associate - Chubb
11.2019 - 06.2022
University of Madras - Master of Science, Statistics
04.2001 -