Longevity Actuary

M&G plc.
Stirling
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Vice President Data Science

Lead Quant Strategist Artificial Intelligence (AI) Research Engineer

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:

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.