Actuarial Data, Automation and AI

Reposted 7 Days Ago
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Singapore, SGP
In-Office
Mid level
Financial Services
The Role
Lead transformation of actuarial processes through automation, analytics, and AI. Identify use cases, define requirements, support solutioning, testing and UAT. Manage actuarial data and build reusable analytics pipelines for persistency and claims, improving data quality, lineage and reporting. Support AI pilot delivery and scaling for actuarial reporting and MI.
Summary Generated by Built In

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.

Job Description:

  • Support Actuarial initiatives within the Future Finance Program+. This involves transforming actuarial processes through workflow automation, process redesign, enhanced reporting analytics, and the adoption of AI solutions. Identify business use cases and prepare business requirements working with various actuarial team. Participate in solutioning, option analysis, test approach, test cases and data preparation, and UAT validation.

  • Manage data, perform Data Analytics on actuarial domain (e.g. Persistency and Claims) to generate insights to support management decisions, experience monitoring, and related activities. This includes developing tools, organizing data structures, and building reusable analytics pipelines. Work with enterprise data/technology teams to improve data availability, lineage, definitions, and documentation, ensuring actuarial use cases are supported by high-quality, well-governed data.

  • Assist in identifying AI use cases, particularly for Actuarial reporting and MI, and support delivery of pilot and scaled solution.

Who we are looking for:

Competencies & Personal Traits

  • Strong knowledge of actuarial reporting processes and the ability to modernize them through automation and systems change

  • Demonstrated ability to design and implement end-to-end process flows, embedding data validation, governance, and quality standards.

  • Experience in actuarial analytics including translating complex analysis into actionable management insights applying advanced analytical techniques

  • Critical thinking, analytical and problem-solving skills

  • Excellent communication skills, capable of explaining technical concepts to non-actuarial stakeholders

  • Self-driven and able to work independently in a fast-paced environment

Working Experience

  • 4+ years of strong experience in actuarial reporting or experience monitoring or business intelligence/data analytics role

  • Experience in data management or implementation of AI solution will be a plus

Professional Qualifications

  • Qualified or near-qualified actuary, or an experienced actuarial professional with strong business credibility.

Education

  • Degree in Actuarial, Mathematics, Statistics, Business Analytics, Data Science

Technical Skills

  • Proficiency in Actuarial model, statistical models, Python, SQL, and business intelligence tools (e.g. Power BI)

  • Advanced data analytical technique or Machine Learning or AI knowledge are advantage

 

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.

Skills Required

  • Strong knowledge of actuarial reporting processes and modernization through automation and systems change
  • Ability to design and implement end-to-end process flows with embedded data validation, governance, and quality standards
  • Experience in actuarial analytics, translating complex analysis into actionable management insights
  • Excellent communication skills, able to explain technical concepts to non-actuarial stakeholders
  • Self-driven and able to work independently in a fast-paced environment
  • 4+ years experience in actuarial reporting, experience monitoring, or business intelligence/data analytics role
  • Experience in data management or implementation of AI solutions
  • Qualified or near-qualified actuary, or experienced actuarial professional with strong business credibility
  • Degree in Actuarial, Mathematics, Statistics, Business Analytics, or Data Science
  • Proficiency in actuarial models, statistical models, Python, SQL, and business intelligence tools (e.g., Power BI)
  • Advanced data analytical techniques or Machine Learning/AI knowledge
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The Company
HQ: London
52,292 Employees

What We Do

In Asia and Africa, Prudential has been providing familiar, trusted financial security to people for 100 years. Today, headquartered in Hong Kong and London, we are ranked top three in 12 Asian markets with 18 million customers, around 68,000 average monthly active agents and access to over 27,000 bank branches in the region. Prudential is focused on opportunities in the most exciting growth markets in Asia and Africa. With access to over 4 billion people in both these regions, we are investing in broadening our presence and building our leadership in the life and asset management markets. We are committed to making a positive impact on our customers, our employees and our communities by delivering the best savings, health and protection solutions to people so they can get the most out of life. Visit our websites for more information Prudential plc: https://www.prudentialplc.com/ Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

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