Pensions & amp ; Investment Technology Graduate Programme - September 2027

LGBT Great; Greater London; Hybrid; GBP 30,000 - 42,000; Full time

Benefits offered by this job

Study support

26 days annual leave

Private medical insurance

LGBTQ+ networks

Job summary

LCP, an award-winning actuarial and analytics consultancy, invites graduates to join the Pensions & Investment Technology team as Analysts in London. You will translate pension concepts into code, work with C# and SQL, and contribute to asset‑liability modelling for pension schemes.

As an Analyst you’ll learn through a graduate training programme, work in an agile environment with Azure DevOps, and collaborate with pensions and investment experts to deliver robust modelling and client solutions.

Qualifications

• A Level Maths (A grade) or equivalent.
• Degree educated (2:1) or nearing completion in STEM.
• Strong numerical, analytical and problem-solving skills.
• Some coding experience, self-taught or formal training.
• Excellent communication and time-management abilities.

Responsibilities

• Translate pension/investment concepts into code using C# and SQL.
• Develop software in an agile environment with Azure DevOps.
• Contribute to internal models (e.g., Visualise) and add new functionality.
• Balance and prioritise tasks while keeping the team updated on progress.
• Collaborate with pensions/investment experts to test and validate models.

Skills

Strong problem solving

Numeracy

Analytical thinking

Coding experience

Communication skills

Education

A Level Maths (A)

STEM degree (2:1)

Tools

C#

SQL

Azure DevOps

Microsoft Office

Job description

LCP is an award-winning actuarial and analytics consultancy providing advice on pensions, energy, insurance, investments, employee benefits and health. We fuse human expertise with powerful analytics to shape a more positive future for our clients and people.

The Opportunity: The Pensions & Investment (P&I) Technology team develops and maintains a range of models that underpins the work of LCP’s Pensions and Investment departments. Our aim is to take complex real-world problems and help to solve them using technology such as monitoring asset portfolios, projecting future benefit payments and asset-liability-modelling for pension schemes.

Your Role: As an Analyst the nature of the work is variable and dynamic as we need to react quickly to meet the needs of the other departments and LCP’s clients.

The type of work you can expect to be involved in as an analyst in the role include:

• Learn to translate pension and investment concepts into code through our graduate training programme and on-the-job learning with a team of experienced developers. Coding is primarily in C#, with exposure to SQL and front-end technologies.
• Develop software in an agile way, making use of Azure DevOps
• Work on our key internal models, like Visualise, writing new functionality and helping solve issues for client teams
• Balance a range of tasks, prioritising accordingly and keeping the team updated on progress of tasks
• Be versatile in working across a range of models where required
• Gain a greater understanding of pensions and investment issues, to help you model them accurately
• Work closely with the pensions and investment experts within the team to ensure new functionality is tested rigorously before release
• Liaise with contacts in the Pensions and Investment departments to understand their requirements for new functionality, feedback on demo models and consider the best ways to implement them
• Liaise with contacts with colleagues to find the best ways to implement new functionality in a way that is consistent with LCP’s coding standards and technological infrastructure

Professional Development: We encourage continuous learning through professional qualifications and personal development training. You'll have the opportunity to work alongside leading professionals in the sector.

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 – STEM subject
• Strong problem solving, numeracy and analytical skills
• Technology skills – some prior coding experience, whether that is self-taught or through structured learning and comfortable using Microsoft Office
• Ability to learn new skills effectively and apply them appropriately – in particular coding
• Enjoyment of working with numerical models and complex data
• Excellent communication skills
• Professionalism – including timeliness, reliability and dedication to meet deadlines to support client needs
• The ability to take ownership of tasks and effectively manage your time
• A team player with a positive can-do attitude and a willingness to share ideas
• Attention to detail

What’s in it for you?

Take a look at our 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 (where applicable)
• 26 days of 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

Roles may close as early as Friday 16 October 2026 if we receive a high volume of applications.

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 to arrange a confidential conversation.