Longevity Analyst London 2024

The Longevity In-Force Analyst has a key role in supporting the delivery of efficient In-Force Longevity portfolio management by co-ordinating each deal through the onboarding phase.

They will work alongside the Head of In-force and the Longevity and Data teams to ensure the tasks involved in managing, developing and protecting our existing Longevity portfolio are delivered.

Good with numbers? Love Excel? Passionate about problem solving? Longevity Reinsurance is quite a niche, but rapidly growing, market, so don’t be put off if you don’t understand some of the terminology, this is a great opportunity for an ambitious and organised analytical individual to join a highly successful, friendly team in an exciting, challenging and rewarding environment.

Key responsibilities

Deal Onboarding

What is deal onboarding? It’s a critical point in the lifecycle of a deal. It’s when we take the data, apply the terms of the contract and the movements reported by our clients and implement all of that to our administration platform.

There are many factors that influence how long this onboarding process can take, it can range anywhere from 4 months per deal, to upwards of 12 months. You’ll work alongside the Implementation Manager, Client Manager, our Data Team and our Supplier on a daily basis.

Here’s what you can expect to do

• Identify and document the requirements of each deal for the supplier to implement
• Draft accompanying legal documentation in relation to each new implementation
• Clearly and accurately reconcile the results provided by the supplier with the results provided by the client, highlighting any differences to the Client Manager and Data Team for review
• Liaise with internal stakeholders to ensure all requirements are documented and delivered
• Produce high quality written summaries of the testing/reconciliation completed, the results, impact etc for approval by the Head of In-Force

We’re also passionate about giving our employees a varied and fulfilling role to help them develop their skills, so there is plenty of opportunity to support the wider team with new business and projects and also the opportunity to work directly with the heads of teams by doing the following:

Deal Origination & Development

• Support new Longevity transaction due diligence exercises.
• Assist with execution tasks in respect of new Longevity transactions.
• Oversee and maintain the deal data base.

General Longevity Team Support

• Assist with the development and maintenance of a dashboard report for internal stakeholders showing a snapshot of the current status of each deal and process.
• Assist with a variety of Longevity projects and work streams.
• Complete Longevity market research into international markets and track UK developments if required.
• Support the Head of Longevity with ad-hoc presentations/work as required.
• Support the promotion of Longevity within the UK office and wider Munich Re Group, including aiding the development of the UK’s position as the centre of excellence for Longevity.
• Work in conjunction with the other Munich Re and UK Life Branch teams to coordinate & facilitate  internal processes and controls.

Plus any additional duties and responsibilities that may reasonably be expected to be undertaken in accordance with the role.

Key skills and knowledge

Essential

• Strong numerical and analytical skills
• Advanced Microsoft Excel skills
• Excellent communication skills
• Ability to prioritise various tasks
• Organisational skills in order to meet deadlines and manage client expectations
• High quality written material, specifically using PowerPoint and Word.

Desirable

Any of the following:

• Knowledge of the pensions industry
• Knowledge of business and/or system change processes, including testing
• Relevant pensions and / or longevity experience or knowledge, ideally within a B2B environment.
• Good understanding of DB de-risking offerings in the market
• Demonstrable ability of managing third party supplier relationships

Qualifications and educational requirements

Essential

• Level Mathematics

Desirable

• Relevant degree (Mathematics, Data Science or similar) or equivalent experience