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An established industry player is seeking a Graduate Actuarial Analyst to join their dynamic team. This role offers a unique opportunity to work on cutting-edge projects across insurance and data science, applying machine learning techniques to enhance traditional actuarial models. You'll collaborate with a team of actuaries and data scientists, gaining hands-on experience and exposure to senior leadership. The company fosters a collaborative culture that encourages innovation and creativity, providing full actuarial study support and a hybrid working model. If you're passionate about analytics and eager to learn, this position is perfect for you.
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This range is provided by HFG Insurance Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
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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.
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