About this role
Actuarial Consulting Intern (Taiwan)
Location
No. 2, Section 3, Minquan East Road, Globaltown International Business Center, Taipei, Taipei City 104, Taiwan
Category
Consulting
Job Id
R_348518
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Summary
This Actuarial Consulting Intern position at Mercer in Taiwan offers a six-month opportunity to support the Asia Pacific Actuarial Practice. The intern will assist with actuarial and quantitative analysis projects, assess costs and risks in insurance and healthcare, and contribute to the sourcing and delivery of retirement plan projects for clients. Responsibilities include data processing, model validation, report preparation, and collaboration with analysts and consultants. Candidates must hold a graduate degree in Mathematics, Statistics, Actuarial Science, or a related field, and demonstrate strong analytical, communication, and organisational skills. Proficiency in MS Office is required, and knowledge of pensions and programming languages is advantageous. The role is suited to self-motivated, detail-oriented individuals with excellent English and Mandarin skills.
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JOB DESCRIPTION
We are seeking a talented individual to join our Wealth team at Mercer. This role will be based in Taiwan.
The new intern candidate will have the exciting opportunity of helping to grow the Asia Pacific Actuarial Practice from the ground-up and will report to the team leader in Taiwan. The intern candidate provide end-to-end consulting and advice on defined benefit (DB) and/or defined contribution (DC) retirement plans, helping clients to support their employees’ financial wellness. The actuarial intern will be expected to contribute to a broad range of projects and will play a key role in the sourcing and delivery of projects for Mercer’s clients, which include public and private pension schemes, government entities and insurance companies.
This internship will last 6 months.
We will count on you to:
- Assist in actuarial/quantitative analysis projects.
- Assess costs, rates, risks, and trends in insurance and healthcare.
- Process, validate, and update data in actuarial and financial models.
- Collaborate with analysts and consultants to resolve queries.
- Contribute to special projects as needed.
- Gather, organize, and verify data accurately.
- Assist in preparing reports and making recommendations to clients.
- Research industry, regulatory, and legislative trends.
- Collaborate with teams across the Mercer Wealth business.
What you need to have:
- A graduate degree, preferably in Mathematics, Statistics, Actuarial Science, or a subject with significant mathematical content.
- Knowledge of the Pensions domain is preferred.
- Excellent analytical, problem-solving, and interpretational skills.
- Strong interpersonal, oral, and written communication skills.
- Ability to multitask and work independently.
- Self-motivated, detail-oriented, and organized in a fast-paced environment.
- Proficiency in MS Office applications (Excel, Word, and PowerPoint).
- Knowledge of VBA or other programming languages is a plus.
- Strong written and verbal presentation skills in English and Mandarin.
Why join our team:
- We help you be your best through professional development opportunities, interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
- Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.
Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
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