Graduate Actuarial Analyst (Machine Learning)

HFG; London; Hybrid; GBP 30,000 - 50,000; Full time

Job summary

An established industry player is seeking a Graduate Actuarial Analyst with a passion for machine learning. This exciting opportunity allows you to work closely with senior leadership on innovative projects across insurance and data science. You will apply machine learning techniques to complex actuarial problems, build bespoke models, and collaborate with a dynamic team of experts. The role offers fast-track development, full actuarial study support, and the chance to thrive in a collaborative culture that values creativity and innovation. If you're eager to learn and make a meaningful impact, this position is perfect for you.

Benefits

Actuarial study support

Data science qualifications support

Hybrid working model

Collaborative culture

Qualifications

• Recently graduated with a strong degree in a quantitative discipline.
• Demonstrated experience with machine learning techniques.

Responsibilities

• Apply machine learning techniques to actuarial problems.
• Collaborate with actuaries and data scientists on innovative solutions.

Skills

Machine Learning

Problem-solving

Analytical Thinking

Communication Skills

Education

Degree in Mathematics

Degree in Statistics

Degree in Actuarial Science

Degree in Data Science

Degree in Engineering

Tools

Python

R

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.