Pensions Actuarial Consulting Graduate Programme - September 2026 (London Only)

{"description": " Pensions Actuarial Consulting Graduate Programme - September 2026 (London Only) LCP is an award-winning actuarial and analytics consultancy providing advice on pensions, insurance, investments, energy, employee benefits and health. We fuse human expertise with powerful analytics to shape a more positive future for our clients and people. The Opportunity: Dive into the world of LCP, where your journey in actuarial consulting isn't just about crunching numbers, instead striking an exciting balance between technical work and consulting. You will be using data and complex models to explore vast financial landscapes, advising industry giants, and making a tangible difference to the lives of millions of pension scheme members. Your Role: This is a consulting-based role which will involve a broad mixture of client and non-client work. Upon joining LCP you will join several client teams of varying sizes, each made up of people from analyst to partner level, working for a
diverse range of projects and clients. The type of work you can expect to be involved in as an analyst in the role include: Analysing data and performing calculations both at individual and scheme level, including triennial actuarial valuations Using LCP in-house software to model pension scheme cashflows and produce analysis for client reports Drafting advice, letters and reports for clients Attending internal and client meetings Helping clients ensure good pension scheme governance and risk management Communicating with clients and their other advisors as part of wide-ranging projects Work relating to pension risk transfer and post transaction projects Preparing figures and analysing the impact of pension schemes on balance sheets of UK and International companies Professional Development: We encourage continuous learning through professional qualifications and personal development training. Over your first three years we provide a tailored graduate training programme to build on your
technical abilities and soft skills. You'll also be working alongside leading professionals in the sector and learning from their experiences What We're Looking For: A Level Maths A Grade Degree educated (minimum 2:1) or currently studying for a degree and on track to achieve a 2:1, in any subject Problem solving, numeracy and analytical skills Excellent communication skills What's in it for you? Take a look at our Glassdoor page and our Career stories to see why our people love being here! As well as joining a multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. At LCP, we believe in a mutual commitment - we invest in you through exceptional support, training and benefits, and in return, we
value individuals who bring skills, dedication, and a community-focused mindset. Currently our core benefits package includes: Study support for professional qualifications 26 days annual leave plus bank holidays, with flexible options Competitive pension scheme Private medical insurance, life assurance, income protection, and digital GP services High street discounts and discounted gym memberships Access to Wellbeing, LGBTQ+, Multicultural, and Women's networks Apply Now: Ready to embark on a career where your potential knows no bounds then don't delay click on the apply now button! Please note: Roles may close earlier due to a high volume of applications, so don't delay - apply as soon as possible to avoid disappointment. Accessibility: LCP is committed to making our opportunities accessible to all. If you would like to talk to someone about any adjustments you may need to assist with your application process, please contact our Early Careers recruitment team
by emailing [email protected] to arrange a confidential conversation.", "salary_raw": "Row(double=None, string=None)"}