Actuarial Rating Programmer

A Leading General Insurance Company is seeking an analytical Actuarial Rating Programmer to join its core functional analytics wing in Mumbai. In this key technical role, you will assume absolute responsibility for developing actuarial pricing algorithms, advanced rating tables, and end-to-end data solutions. Furthermore, you will build and calibrate complex data models using policy, customer, and claims information datasets. Consequently, this position is vital for driving accurate risk valuation, supporting pricing transformations, and refining compliance reporting guidelines.

The Actuarial Rating Programmer must combine strong technical scripting capabilities with a practical understanding of risk management and reserving operations. Working within a cross-functional workspace, you will collaborate closely with corporate Actuarial and IT teams to translate complex stakeholder demands into clear, actionable development timelines. Therefore, the group is looking for a data-driven specialist who manages data quality controls and code validation practices seamlessly. If you want to elevate your pedigree inside a premier institutional general insurance practice, this role is for you.

Key Responsibilities

• Improve and develop algorithms and matrix tables related to insurance rate changes to meet specific user needs.
• Program, test, debug, and maintain complex pricing formulas and maintain comprehensive system documentation.
• Collaborate directly with cross-functional Actuarial and IT squads to manage project schedules and deliver milestone status reports.
• Provide detailed system analyses, suggestions, and architectural evaluations to ensure optimal processing efficiency.
• Formulate structured recommendations to drive continuous improvements across system development and maintenance processes.
• Apply advanced data manipulation scripts using SAS, SQL, and VBA to ensure high data accuracy and validation standards.
• Lead requirement gathering phases, translating abstract discussions with project owners and sponsors into clear tasks.
• Incorporate domain insights spanning Pricing, Reserving, Exposure Management, and Risk Management into pipeline designs.

Requirements and Qualifications

• Graduate degree qualification, preferably a Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or Engineering.
• 4+ Years of successful professional experience handling general insurance data, analytics, or pricing architectures.
• Proven technical programming mastery in SAS, SQL, and VBA macro configurations paired with excellent data-quality practices.
• Familiarity with Agile methodologies, project management tools, and a strong understanding of debugging conventions.
• Beneficial: Professional clearance of formal Actuarial Exams or exposure to Machine Learning model implementations.