Actuarial Specialist - Python

Purpose of the Role

The Actuarial Specialist will be primarily responsible for building and validating actuarial models using Python, 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).
• Good working knowledge of SQL and Excel for data handling and validation.
• Experience with actuarial modelling concepts and principles.
• 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:

• Familiarity with VBA and Microsoft Office Suite.
• Exposure to in-house actuarial or insurance software platforms.
• Knowledge of AI/ML techniques and their application in insurance or actuarial modelling is a plus.

Personal Attributes

• Strong analytical and problem-solving skills.
• High attention to detail and commitment to model accuracy.
• Self-motivated with a proactive approach to learning and development.
• Excellent communication and documentation skills.
• Collaborative team player with the ability to work with both technical and non-technical stakeholders.
• Adaptable and resilient in a dynamic, project-oriented environment.