Graduate Actuarial Analyst Machine Learning

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.