Job Description

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Insurance Risk Business Analytics

Organisation Context: Aligned with Prudential’s ambition to be a data-led organisation, Group Risk is investing in insurance risk analytics capabilities. Group Risk has built an analytic tool – DICE that provides real-time visibility of our insurance risk experience, leveraging data across insurance value chain in such a way that systematically identifies shareholder value leakage and empowers the organization to understand and dig deeper. The tool is deployed across markets for FWA detection, network analysis, geospatial analytics, driver analysis, and actuarial experience monitoring, whilst being expanded to encompass persistency experience analytics and potentially the internal basis for pricing incidence rate assumption generation.

Role Purpose: Play a key role in the deployment and continuous enhancement of DICE, working under the guidance of DICE architect but with significant autonomy and self-direction. Shape the evolution of DICE by applying practical, business-relevant data science and statistical techniques to solve complex insurance risk challenges.

Key Responsibilities:

• Design, build, and maintain analytics solutions that enable data-driven decision-making across internal business teams.
• Optimise and maintain codes for accuracy, performance, scalability, and maintainability across the full analytics pipeline – from data extraction to modelling, visualisation, and user interfaces.
• Collaborate closely with markets and business users to plan, develop, and deliver impactful, user-centric solutions.

Candidate Specifications:

• At least 5 years of experience in analytics, data science, data engineering or a related field.
• Proficiency in Python, SQL, PowerBI, and DAX.

• Experience in life & health insurance industry data analytics is highly advantageous.
• Passion for solving complex business problems using practical & explainable quantitative approaches.
• Bachelor’s degree or higher in Statistics, Computer Science, Actuarial Science, Mathematics, Business Analytics, Economics, or a related quantitative field.

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Job Requirements