Graduate Consulting - Actuarial London Autumn 2025

KPMG
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Graduate Actuarial Analyst (Machine Learning)

UK Artificial Intelligence (AI) Regulatory Lead (RL)

Graduate Software Engineer

Graduate Business Systems Analyst

Graduate Data Science Analyst - Borehamwood - Driving License & Car Essential

Job description

Our Actuarial team help organisations within the insurance industry to manage financial risk. Graduates on this programme use detailed analysis of past events to create accurate models of the future – and advise on their financial implications. It's work that makes a meaningful and positive difference for our clients. 

Qualifying as an Actuary requires drive and motivation. You’ll be asked to produce detailed analyses and communicate the commercial implications of complex topics. It’s a highly technical role, best suited to graduates who are ambitious and enjoy working with numbers, studying an honours degree or post graduate degree in a numerical or analytical subject, for example Actuarial Science, Maths, Statistics, Data Science, Economics, Engineering or Physics.

During the programme you will have the opportunity for varied learning and training opportunities and will study to gain the Actuarial qualification in three to five years. You’ll need to be driven and highly motivated to qualify as an Actuary and have a passion for producing detailed analyses and able to communicate the commercial implications of complex topics.

Within Actuarial, there are two different areas which you could join, both working with some of the biggest companies in the UK and global insurance market:

Life Actuarial Servicesprovides advice to the Life Insurance industry, who in turn provide investment related products (such as workplace pensions) or protection products (such as term assurance policies or critical illness cover). General Insurancecovers the spectrum of business and personal risks, with types of insurance ranging from standard car and house to more unusual insurances covering satellites, oil rigs or hurricane damage. Changing regulations, new products and developing markets mean that nothing stands still in this challenging and demanding business area. 

Our firm’s hybrid working model balances the flexibility of working from home with the importance of collaborating and learning in offices or at client sites. We trust our people to be where our clients need them to be, with our client-facing colleagues working together in person as often as needed. You’ll be empowered by the technology that supports us to work flexibly and our collaborative offices spaces, building friendships and shared experiences, innovating and learning together.

Capability: Consulting Programme Length: 3 years Qualifications: IFoA Level 7 Apprenticeship Entry Requirements:

At KPMG, everyone brings a unique perspective, and we want to ensure that you have the best opportunity to demonstrate your potential. We want to discover your individual strengths and attributes to help us to know whether you’ll enjoy working here and how you’ll thrive. That’s why we operate an open access policy and an application process that will assess both your qualifications and your qualities.

Generally, you’ll be expected to demonstrate the following grades (*or equivalents), to show that you’re able to successfully study for professional qualifications. If you are a few grades or points short, we would still encourage you to apply, as your application will be reviewed together with your performance in our assessments. You‘ll also have the opportunity to provide additional information for us to assess your application and potential in the context of your socio-economic background and/or any extenuating circumstances, which may have a positive uplift on your academic achievements through contextual recruitment. You can find out more .

GCSE Maths Grade 5 or B* GCSE English Language Grade 5 or B* 120 UCAS points* from your ‘top’ 3 A Level grades, excluding General Studies. Must include Maths at minimum grade A. 2:1 undergraduate degree in a numerical or analytical degree (for example Actuarial Science, Maths, Statistics, Data Science, Economics, Engineering or Physics).

Key Skills:

Throughout the recruitment process we will be looking to learn more about your strengths.

To be successful on this programme, you will be required to demonstrate the strengths that we look for in our graduates at KPMG.

Learn more about what we look for and how to apply .

Training and Development:

The training and development of our people is critical to the future success of our business. We want to empower you to grow in your own way, to feed your curiosity and embrace a growth mindset in an environment where learning is continuous. Therefore, we have created a rich curriculum and learning community to help you build your skills and fulfil your potential. This ranges from an immersive 5-day induction experience to help you transition to the world of work, formal training courses, leadership knowledge bites, learning journals, online courses and networking events – all aligned to our ‘learn for a lifetime’ strategy designed to help you gain an advantage for life.

In addition, in Actuarial, we offer the IFoA qualification through a Level 7 apprenticeship route.
Your qualification is expected to take 3 years (please note that any prior learning you have undertaken will determine the length of the qualification). You will study towards a Level 7 apprenticeship with the Institute and Faculty of Actuaries (IFoA) and ActEd (your tuition provider), with the aim of achieving Associate Level upon completion. We recognise this is a challenging qualification, and therefore you will have flexibility over your exam pathway. You will be given a study mentor who will work with you to agree how many exams to attempt and which order to attempt the exams. You will also be supported through the Level 7 apprenticeship, with access to a skills coach with ActEd and support from your Performance Manager at KPMG. Once you have completed your Associate Level qualification, you will be supported to progress to Fellowship and become a fully qualified actuary. You can find out further information on the IFoA here.

This programme is delivered via a range of live and recorded courses, together with extensive online material libraries. Students will have access to a dedicated coach throughout their study programme to provide tailored support towards the exams. Study leave is afforded based on our learning provider's recommendations, enabling you to balance studying and learning materials at a pace suited to your style, and then getting individuals ready for final revision and exam technique practice in the run up to sittings. There is flexibility to the study programme over your training contract based on any exemptions received, but all enabling you to have structured support to qualify swiftly.

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.

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.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.