Prudential plc

Solution Analyst

Prudential plc  •  Kuala Lumpur, MY (Onsite)  •  19 days ago
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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.

We are looking for a technically capable and adaptable Actuarial Ecosystem Solution Analyst to support and optimize the systems, tooling and processes that power our actuarial end to end platform. This role works across cloud platforms (Azure and GCP) and partners closely with actuarial and data teams to improve integration, automation, and the overall technology ecosystem.

While prior experience with actuarial modeling systems (e.g., Pathwise, Prophet) or data-related tools (e.g. Databricks, Collibra, Unify) is an advantage but not required.

Key Responsibilities:

  • Collaborate with Actuarial, Data, and Technology stakeholders to understand process needs and co-develop effective solutions.
  • Support and enhance the actuarial system and tooling used by actuarial teams, ensuring usability, stability, and performance.
  • Assist with integration and configuration of tooling such as Unify, Collibra, and Databricks in a cloud environment.
  • Enable use of actuarial modeling systems like Pathwise and Prophet within Azure and GCP platforms.
  • Contribute to systems and tooling documentation, troubleshooting, user support, and continuous improvement efforts.
  • Learn and adopt new technologies and tools aligned with actuarial domain requirements.

Requirements:

  • Ideally 6 to 8 years’ experience in system implementation/support
  • Familiarity with cloud platforms, especially Microsoft Azure and/or Google Cloud Platform (GCP)
  • Strong problem-solving skills and learning mindset, with the ability to pick up new technologies quickly.
  • Comfortable working in a dynamic, multi-tool environment.

Good to have:

  • Experience with actuarial modeling software implementations is advantageous.
  • Exposure to tools such as Databricks, Collibra, Unify, or similar platforms is a plus, not mandatory.
  • Basic scripting knowledge (e.g., PowerShell) is a plus.
  • Experience in insurance, financial services, or working with actuarial or risk teams is a plus.
  • Cloud certifications (e.g., Azure Fundamentals, GCP Associate Cloud Engineer) are a bonus.

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.

Prudential plc

About Prudential plc

We are Prudential.

For Every Life, For Every Future.

Prudential provides life and health insurance and asset management in Greater China, ASEAN, India and Africa. Prudential’s mission is to be the most trusted partner and protector for this generation and generations to come, by providing simple and accessible financial and health solutions.

We are headquartered in Hong Kong and have dual primary listings on the Stock Exchange of Hong Kong and the London Stock Exchange.

Visit our websites for more information:

Prudential plc: https://www.prudentialplc.com/

Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation

Industry
Finance & Insurance
Company Size
10,000+ employees
Headquarters
Central, HK
Year Founded
Unknown
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