Job description

Purpose of the Role
The Actuarial Specialist will be primarily responsible for building and validating actuarial models using Python and other coding language, ensuring they meet detailed business specifications. The role requires a blend of technical programming skills and actuarial expertise, particularly in the pensions and protection domain. You will collaborate with product, development, and project teams to deliver accurate and scalable solutions to our clients.
Key Responsibilities
Develop Python-based actuarial models for pensions and protection products.
Translate complex actuarial calculations into well-structured system specifications.
Rigorously test and validate models to ensure they align with business requirements.
Use SQL, Excel, and other tools for validation, data analysis, and model auditing.
Maintain and enhance existing calculation systems and models.
Collaborate with internal teams (Analysts, Developers, Product Managers) to deliver end-to-end solutions.
Contribute actuarial input to business and system change initiatives.




Support client-facing projects, including implementation, UAT, and post-deployment updates.
Required Qualifications and Skills
Technical Skills:
Proficiency in Python (modelling, scripting, automation). Minimum 3 years of experience in python needed
Good working knowledge of SQL and Excel for data handling and validation.
Experience with actuarial modelling concepts and principles preferred
Ability to interpret and apply actuarial specifications to system design.
Educational Background:
Degree in Actuarial Science, Mathematics, Statistics, Computer Science or a closely related field.
A-level Mathematics (Grade A*–A or equivalent).
Progress toward actuarial qualifications (e.g., IFoA) is desirable.
Desirable Knowledge:
Good with python, VBA and Microsoft Office Suite.
Positive knowledge of SQL, deployments, and coding practice
Exposure to in-house actuarial or insurance software platforms.
Knowledge of AI/ML techn

📌 Python Developer (India)
🏢 AInsurCo
📍 India