Quantitative Engineer

Bolton Associates; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Bolton Associates is seeking a Quantitative Engineer to join its Analytics team to develop technology and analytics capabilities for reinsurance structures. The role involves integrating underwriting, pricing, actuarial modelling, and portfolio analysis within one framework.

Applicants should have a PhD in Mathematics or a highly quantitative field, plus programming exposure; Part III Cambridge candidates or top Master’s graduates are considered. Full right to work in the UK is required.

Qualifications

• PhD in Mathematics or a highly quantitative field.
• Some programming experience from degree or projects.
• Ability to work with stakeholders and apply structured reasoning.
• Interest in insurance industry.

Responsibilities

• Assist in building a technology platform for the reinsurance/ILS market.
• Support analytics capabilities across complex reinsurance structures and concepts.
• Collaborate with underwriting, pricing, actuarial modelling, and portfolio analysis teams.

Skills

Mathematics

Programming

Analytical thinking

AI interest

Education

PhD in Mathematics

Part III Mathematics (Cambridge)

Master's in quantitative discipline

Tools

Python

R

Matlab

Job description

We are working with a growing insurance company that is looking for a Quantitative Engineer to join its Analytics team and support the development of its technology and analytics capabilities across a range of complex reinsurance structures and concepts.

The role will involve helping to build a technology platform for the reinsurance and ILS market, bringing underwriting, pricing, actuarial modelling and portfolio analysis together within one framework.

No prior insurance experience is required. You must have a strong mathematical, technical and analytical mindset, alongside a genuine interest in the insurance industry.

Key Requirements

• PhD in Mathematics or another highly quantitative discipline.
• Some programming experience gained through a degree, personal projects, or similar experience.
• Ability to work closely with various stakeholders, apply structured reasoning, and build effective working relationships.
• Intellectually curious, with the ability to learn new tools and technologies, including AI.

Exceptional Master’s candidates may also be considered if they are:

• Studying Part III Mathematics at the University of Cambridge; or
• Among the top-performing students in their cohort on a Master’s degree in a highly quantitative discipline.

Must have full right to work in the UK without restriction and be able to start as soon as possible.