Executive, Data Analytics (Contract)

Malaysian Life Reinsurance Group Berhad

Kuala Lumpur

On-site

MYR 60,000 - 90,000

Full time

2 days ago
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Job summary

Malaysian Life Reinsurance Group Berhad (ML Re) invites applications for an Executive, Data Analytics on a 1-year contract in Kuala Lumpur. You will support data migration into the Aragon RI system, perform data analysis, and generate accurate data for stakeholders while ensuring timely processing and system readiness.

The role emphasizes independent work, attention to detail, and ability to manage multiple tasks under deadlines.

Qualifications

  • Degree in Mathematics, Financial Mathematics or Statistics.
  • Advanced Excel and Access, including VBA and VLOOKUP.
  • Strong analytical ability with attention to detail.

Responsibilities

  • Assist data migration into the Core Reinsurance (RI) system Aragon.
  • Administer and analyse reinsurance data and premium invoicing.
  • Analyze data trends to ensure accuracy and target alignment.
  • Develop data validation tools and support system go-live.
  • Provide data for internal and external stakeholders.

Skills

Excel
Access
VBA
Data analysis
Data migration
Attention to detail

Education

Mathematics / Statistics degree

Tools

Aragon Core RI system

Job description

At Malaysian Life Reinsurance Group Berhad (ML Re), we are committed to being our partners' trusted reinsurer for resilient and sustainable growth.

As Malaysia's first life reinsurer, we combine deep local market insight with global expertise to deliver innovative, collaborative reinsurance solutions that create long-term value. For over 29 years, we have worked alongside our partners to strengthen protection, navigate evolving market challenges, and support sustainable growth across the insurance industry.

At ML Re, we believe our people are at the heart of our success. We foster a collaborative, inclusive, and purpose-driven workplace where talent is empowered to grow, innovate, and make a meaningful impact.

Be part of a team that creates lasting value and shapes a more resilient future because we are Stronger, Together.

We are looking for passionate and talented individuals to join our growing team. If you are ready to contribute, grow, and make an impact, explore this opportunity with us.

We are in the lookout for dynamic individuals to join ourteam as Executive, Data Analytics. This is a contract role of 1 year. The contract is renewable subjected to performance and business needs. In this role, you will be a key contributor in the areas as follows:

  • Assist with data migration into our Core Reinsurance (RI) system, Aragon, including data mapping, manipulation, validation and verification to ensure data accuracy and system readiness.
  • Administer and analyse reinsurance data, including in-hand tracking, statement processing, claims registration and premium invoicing within the required timelines.
  • Analyse premium data and trends to identify discrepancies, improve data accuracy and ensure premiums are processed in line with planned targets.
  • Extract and provide accurate data and information for internal and external stakeholders, including data required for experience studies and business analysis.
  • Perform system testing and data validation to identify discrepancies, improve data quality and support the successful system go-live.
  • Support the configuration and implementation of the Core Reinsurance (RI) system including setup for new business arrangements and system requirements.
  • Develop spreadsheets and data validation tools to streamline processes, improve efficiency and support automation initiatives.
  • Handle data-related enquiries by understanding stakeholder requirements and providing accurate and timely information.
What We're Looking For:
  • Degree in Mathematics, Financial Mathematics, Statistics or related disciplines.
  • Advanced proficiency in Microsoft Excel and Access (including VBA and VLOOKUP).
  • Strong analytical skills with attention to detail and accuracy.
  • Experience in data migration, mapping, and system configuration.
  • Ability to analyze complex data and identify trends and anomalies.
  • Ability to work independently and manage multiple tasks under tight deadlines.
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