Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Longevity Actuary

M&G plc.
Edinburgh
11 months ago
Applications closed

At M&G our purpose isto give everyone real confidence to put their money to work.As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

Through our behaviours oftelling it like it is, owning it now, and moving it forward togetherwithcare and integrity;we are creating an exceptional place to work for exceptional talent.

We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.

The role

The Longevity area sits within the Methodology & Assumptions team and is responsible for development of the mortality bases for retirement products and monitoring of longevity risk. To achieve this the team is required to develop cutting edge models of and approaches to longevity risk. This role is aimed at the experienced colleague level for an individual progressing towards actuarial fellowship. This role will act as necessary support to the team by carrying out longevity and mortality research, reporting to a Senior Longevity Actuary.

Primary Responsibilities

  • Support the team in the production of longevity and demographic assumptions, relating to both best estimate liabilities and capital requirements
  • Support business growth of the Life business in relation to the provision of pricing assumptions for BPA transactions
  • Support the team in providing expert insight into emerging longevity trends
  • To carry out and support longevity analysis, including undertaking the necessary technical investigations and research
  • Processes to be carried out with appropriate controls applied to minimise risks


Additional Responsibilities

  • Contribute to regular research on relevant longevity topics and present findings to the team. This will include areas such as medical developments and innovations relevant to the M&G annuitant population and targeted new business profiles.
  • Demonstrate a positive risk and control culture through the active identification, assessment, monitoring and management of risks and controls
  • Identifies and anticipates need for changes to continuously improve quality and efficiency of output
  • Manages risks using expert judgment, know-how and experience
  • Accountable for the technical accuracy of outputs and timely delivery of work
  • Develop knowledge, skills and experience by working alongside experienced colleagues and participating in training sessions across the team.
  • Communicate effectively with stakeholders across Finance & Life, both written and oral
  • Manages conflicts that may impact delivery
  • Challenges the status quo and continually seeks opportunities for improvement


Knowledge, Skills & Experience (Essential)

  • Knowledge and understanding of longevity trends
  • Cognisant of current research impacting longevity risk
  • Knowledge of actuarial professional standards and codes
  • Knowledge of life and pensions products, markets and competitors with a focus on the Bulk Purchase Annuity transactions and supporting reinsurance arrangements
  • Knowledge of financial services regulatory and legislative frameworks
  • Ability to analyse data and interpret the output to understand mortality trends in portfolio data
  • Experience of taking complex and ambiguous problems and quickly generating practical solutions
  • Experience of communicating complex problems with a range of stakeholders, both written and oral
  • Proficient in the use of Microsoft tools including Excel and SQL, or other relevant packages


Knowledge, Skills & Experience (Desirable)

  • Experience in the use and enhancement of longevity models using statistical and data science techniques
  • Performing experience analysis and data manipulation, including the utilisation of machine learning techniques, in relation to the monitoring mortality experience and analysing trends
  • Able to take responsibility and ownership of work
  • Ability to identify opportunities to improve own performance
  • Experience of developing and improving processes
  • Able to manage multiple pieces of work and plan time effectively and prioritise to ensure on time delivery
  • Ability to express own viewpoint and contribute effectively to team discussions on technical longevity issues
  • Ability to produce high quality technical work whilst operating within a well-controlled environment
  • A keen learner who can quickly understand how to use new systems and processes


Educational Qualification

  • Graduate in Actuarial Science or any other relevant degree
  • Qualified or working towards actuarial fellowship or other relevant qualification (should have cleared 8/9 actuarial papers)
  • Keeps up to date with Continued Professional Development requirements


Work Level: Experienced Colleague
Close Date: 2nd December 2024


We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

M&G is also proud to be a Disability Confident Leader , and we welcome applications from candidates with long-term health conditions, disabilities, physical, mental health or neuro-divergent conditions. We participate in the Disability Confident 'Offer an Interview' scheme, which means that candidates with disabilities or long-term health conditions who meet the minimum criteria of a job, will be offered an interview if they 'opt in' to the scheme when applying. These candidates are also supported to ensure they have the best opportunity to demonstrate that they can do the job.

If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting us at:

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.