Graduate Actuarial Analyst (Machine Learning)
- Posted 31 October 2025
- Salary £30000 - £35000 per annum
- LocationLondon
- Discipline 精算與風險
- Reference22042025
Job description
We are proud to be exclusively partnering with a boutique consultancy firm specialising in actuarial modelling and advanced analytics. As they continue to grow, they are seeking a bright and ambitious Graduate Actuarial Analyst with a passion for machine learning to join their dynamic team.
This is a rare opportunity to join a high-calibre consultancy where you'll work closely with senior leadership, gaining hands-on experience on a range of cutting-edge projects across insurance, risk, and data science.
About the Role:
- Apply machine learning techniques to complex actuarial problems, enhancing traditional actuarial models. 
- Work on real-world client projects across a variety of sectors. 
- Build bespoke models and predictive analytics tools. 
- Collaborate with a team of actuaries, data scientists, and consultants on innovative solutions. 
- Support actuarial modelling and reporting, with a strong data-driven and technical focus. 
About You:
- Recently graduated (or graduating) with a strong degree (2:1 or above) in a quantitative discipline (Mathematics, Statistics, Actuarial Science, Data Science, Engineering, or similar) from a top-tier university. 
- Achieved A or A* in Mathematics at A-Level (or equivalent). 
- Demonstrated experience with machine learning techniques, ideally through academic projects, internships, or personal projects. 
- Proficient with Python, R, or similar analytical languages. 
- Strong problem-solving and analytical thinking skills. 
- Excellent communication skills - comfortable presenting technical results to non-technical audiences. 
- Highly motivated, detail-oriented, and eager to learn in a fast-paced environment. 
What's on Offer:
- A unique chance to join a highly respected, growing consultancy at an early stage. 
- Fast-track development and progression with exposure to senior clients and cutting-edge projects. 
- Full actuarial study support (if pursuing exams) or support towards data science qualifications if preferred. 
- Hybrid working model with flexibility. 
- A collaborative, meritocratic culture where innovation and creativity are encouraged. 

