Underwriting & Claims Intern — Data, Docs & Decks (Singapore, Hybrid)

PartnerRe Ltd.; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

PartnerRe Ltd. in Singapore invites applications for a three-month internship from October to December 2026, reporting to the Head of Underwriting and Claims APAC.

The role focuses on administrative support for the underwriting and claims teams, with substantial system interaction. Ideal candidates are students with actuarial, statistics, finance or science background, proficient in Microsoft Office and advanced Excel, with strong communication and analytical skills, and fluency in English.

Qualifications

• Student with actuarial/statistical/finance or science background.
• Microsoft Office experience, advanced Excel, analytical and PowerPoint skills.
• Well-organized, proactive, creative and solution oriented.
• Strong communication skills with the ability to present complex topics to non-technical audiences.
• Fluency in English, both written and spoken.
• Highly motivated, openness for continuous improvement.

Responsibilities

• Setting up the claim’s and underwriting referrals to PartnerRe in the system.
• Helping the UW and claims team document guidelines, parameters and benchmarking.
• Support the team on data analytics as required.
• Assist in creating a streamlined document repository and PowerPoint decks for trainings.
• Participate in other projects as required by the APAC L&H team.

Skills

Communication skills

Analytical skills

Organizational skills

Learning mindset

English fluency

Education

Actuarial/Statistics/Finance or Science background

Tools

Microsoft Office

Excel (Advanced)

PowerPoint

Job description

PartnerRe Ltd. in Singapore invites applications for a three-month internship from October to December 2026, reporting to the Head of Underwriting and Claims APAC.

The role focuses on administrative support for the underwriting and claims teams, with substantial system interaction. Ideal candidates are students with actuarial, statistics, finance or science background, proficient in Microsoft Office and advanced Excel, with strong communication and analytical skills, and fluency in English.