Actuarial Data, Automation and AI

Job Description:

Lead the implementation of Actuarial initiatives within the Future Finance Program+(FFP+). This involves transforming actuarial processes through workflow automation, process redesign, enhanced reporting analytics, and the adoption of AI solutions. Identify business use cases and consolidate business requirements working with various actuarial team. Provide support for solutioning, option analysis, and defining test approach.

Act as PACS Project Manager to ensure successful delivery of PACS FFP+ initiatives and Actuarial Tech projects. Develop detailed project plans, defining scope, timelines, budgets, and resource allocation to ensure successful execution. Perform risk analysis, address potential issues proactively, and implement contingency plans. Lead cross-functional teams, track the progress of project delivery, tackle obstacles, and facilitate communication between team members, stakeholders, and senior management.

Assist in defining an actuarial AI roadmap. Identify AI use cases, particularly for Actuarial reporting and MI, and coordinate cross functional delivery of pilot and scaled AI 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

Leadership and 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

6+ years of strong experience in actuarial reporting or business intelligence/data analytics/business analyst role, and

Expertise in project management or consulting in insurance industry

Experience in AI solution implementation to improve efficiency or Data analytics to get actionable insights 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, Computer Science

Technical Skills

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

Technical proficiency such as methodologies like Agile or Scrum

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.