Actuarial Pensions Graduate Programme
London, England, United Kingdom
GTI Recruiting Solutions Ltd
Supporting students with self-discovery, career guidance, skills and finding roles. Helping employers reach and hire. Enabling universities to deliver world-class services.Programme overview
A fast-changing world can create a lot of opportunity for businesses, but it also creates new risks. We offer our clients leading advice on pension risk. Our teams work within a multi-disciplinary environment across a number of specialist areas, covering a range of industry sectors. The global nature of our business allows our people to develop and grow based on their own personal goals and objectives.
Technology and innovation are key in delivering solutions to our clients. We use actuarial valuation and liability modelling software to help clients understand their pension risk. We have also developed apps and platforms for clients using Python and “R”.
What you will be doing
- Analysing data to identify trends and insights, communicating with clients, writing reports and presenting your work.
- Applying actuarial concepts and modelling techniques to derive our view on financial assumptions.
- Building proposals for new business pitches.
- Completing actuarial audits of pension schemes.
- Supporting the investment governance and oversight team in selecting, monitoring and researching fiduciary managers.
- Carrying out due diligence on the pension aspects in a corporate transaction (merger and acquisitions).
- Collaborate with insurers to arrange risk transfers and play a pivotal role in securing pension benefits.
- Providing support on advising clients in relation to their pensions and related risks.
Requirements
We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honours degree in a numbers-based subject like Maths, Statistics, Actuarial Science, Physics, Chemistry, Biology, Engineering, Economics, Computer Science or Technology, have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, or in your home language if you do not hold English Language GCSE, and three A-levels/Five Highers (or equivalent), including an A grade at A Level/Higher Maths (or equivalent carrying at least 48 UCAS points) to be eligible to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Biology Chemistry Computer Science Economics Engineering Physics Python R Statistics
Perks/benefits: Career development
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