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Internship, Data Analytics

Early Applicant
  • Posted 4 days ago
  • Be among the first 10 applicants

Job Description

About Us

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.

Your Internship Journey Begins Here!

We are looking out for students keen on exploring the data field to join us onboard with our Data Analytics team where you'll gain valuable industry experience, develop your analytical skills, gain practical insights in areas follows:

  • To assist in preparing data from Excel raw data file to system template, ensuring accurate and consistent data formatting for seamless integration into databases.
  • To support in verifying migrated data records count versus existing database.
  • To assist in performing data conversion tasks, particularly for per life aggregation processes, ensuring data is accurately aggregated and converted in accordance with project requirements.
  • Provide support for various ad hoc tasks related to data analytics.

Who We're Looking For:

  • Second-year or final-year students pursuing Mathematics, Economics, Statistics, Actuarial Science, or related discipline.
  • Good working knowledge of Microsoft Excel.
  • Strong analytical and problem-solving skills with excellent attention to detail.
  • Able to work independently while collaborating effectively within a team.
  • Curious, proactive, eager to learn, and willing to take on new challenges.

More Info

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Job ID: 153703065

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