# Manager, Actuarial Data, Automation and AI

**Company**: Prudential
**Location**: Singapore
**Experience**: senior
**Job type**: full-time
**Category**: Finance
**Industry**: Finance

**Apply**: https://prudential.wd3.myworkdayjobs.com/en-US/prudential/job/Singapore/Actuarial-Data--Automation-and-AI-Manager_26060392-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cb18b29f-2ec

## Description

We are looking for a forward-thinking actuarial manager to help shape the future of reporting, analytics, and AI within our Actuarial function.

The Manager, Actuarial Data, Automation and AI (ADAA) will drive high-impact initiatives that modernize reporting processes, unlock better business insights, and scale practical AI solutions.

**Key Responsibilities:**

- Lead the implementation of Actuarial initiatives within the Future Finance Program+ (FFP+), transforming actuarial processes through workflow automation, process redesign, enhanced reporting analytics, and the adoption of AI solutions.

- Act as PACS Project Manager to ensure successful delivery of PACS FFP+ initiatives and Actuarial Tech projects, developing detailed project plans, defining scope, timelines, budgets, and resource allocation.

- Assist in defining an actuarial AI roadmap, identifying AI use cases, and coordinating cross-functional delivery of pilot and scaled AI solutions.

**Requirements:**

- 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.

- Expertise in project management or consulting in the 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 advantageous.

## Skills

### Required
- actuarial reporting
- automation
- AI
- data analytics
- project management
- Python
- SQL
- Power BI
- Agile
- Scrum

### Nice to have
- AI solution implementation
- machine learning

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