Actuarial Data Analytics Intern — Learn & Grow

Allied World Insurance

Hong Kong

On-site

HKD 156,000 - 223,000

Full time

5 days ago
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Job summary

Allied World Insurance invites motivated students to join our analytics team in Hong Kong. You will assist with rating models development, pricing indications for large accounts, and monitoring portfolio metrics to support business decisions.

We value strong Excel skills and programming exposure (VBA, Python, SAS or R), plus a collaborative mindset, integrity and a willingness to learn. You will benefit from practical training, mentoring, and exposure to a global network as you contribute to

Qualifications

  • Currently pursuing a bachelor's degree, preferably in the penultimate or final year, in actuarial studies, mathematics, statistics, data analytics or a related discipline
  • Good working knowledge of Microsoft Excel
  • Programming experience or exposure to VBA, Python, SAS or R would be beneficial
  • Strong analytical skills and a willingness to learn
  • Strong ethics and integrity
  • Open communication and teamwork are essential to this role

Responsibilities

  • Assisting with the development, testing and refinement of rating models
  • Supporting the preparation of pricing indications for individual large accounts
  • Assisting with the reporting and monitoring of key portfolio metrics for management and business stakeholders
  • Supporting the automation and enhancement of pricing processes, reporting and analytical workflows
  • Any other duties, as assigned by the manager

Skills

Excel
VBA
Python
R
SAS
Analytical skills

Education

Actuarial studies / Mathematics

Tools

SAS
R

Job description

Allied World Insurance invites motivated students to join our analytics team in Hong Kong. You will assist with rating models development, pricing indications for large accounts, and monitoring portfolio metrics to support business decisions.

We value strong Excel skills and programming exposure (VBA, Python, SAS or R), plus a collaborative mindset, integrity and a willingness to learn. You will benefit from practical training, mentoring, and exposure to a global network as you contribute to

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