Carbon
Graduate Quantitative Engineer
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The Opportunity
At Carbon, we’re delegating differently by combining our strong insurance expertise with cutting edge technology. As we rapidly scale globally, and continue to advance Graphene, our proprietary owned data ecosystem, we remain guided by our core pillars of People, Partnerships and Innovation. If you want to join an exciting business powered by the latest technology, and are energised by collaboration, big ideas and making a meaningful impact to our partners, then this role is for you: Graduate Quantitative Engineer.
About Us
Founded in 2018, Carbon’s mission is to transform delegated underwriting and raise the standard for the industry. Our open underwriting model connects data, insight and people to enable stronger decisions and more dynamic portfolio management, bringing greater transparency, clarity and confidence to our partners and to the way the whole market works.
We’re proud to have been recognised by The Sunday Times as a Best Place to Work in both 2024, 2025 and 2026, reflecting our warm, inclusive culture and our energetic, entrepreneurial spirit. Our friendly, modern offices foster creativity and connection, while our partnership with Google Cloud, where we are celebrated as a success story, demonstrates our commitment to innovation and technology at the highest level.
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Location: 5th Floor, 9A Devonshire Square. London. EC2M 4YN
Start date: Immediate
Role type: Permanent, full-time, hybrid
The Role
We're looking for a commercially minded analyst with strong data presentation and business partnering skills to join our growing InsurTech team. This role sits at the intersection of underwriting, business analytics, and insurance performance.
The Graduate Quantitative Engineer plays a key role in monitoring, analysing, and enhancing the financial and operational performance of Carbon’s business units. This role combines technical understanding with commercial insight to support strategic decision-making, planning cycles, and regulatory reporting.
Key Responsibilities
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- Working within a tight-knit team of technologists in an agile environment, this role will focus on creating cutting edge analytics using modern toolsets.
- The individual needs to be comfortable analysing large datasets and communicating conclusions across a diverse array of stakeholders.
- There are no silos here – there’s the opportunity to work across the whole tech stack and grow your skillset.
- This role would suit a curious and engaged professional who relishes the challenge of working within a rapidly evolving environment and taking the lead on respective parts of the platform.
- Opportunity to interact with external clients and participate in product demos.
- Work closely with the business and gain product knowledge.
About You
- Comfortable working with data sets; SQL essential, Python desirable.
- Able to communicate effectively with both technical and non-technical stakeholders.
- Curious, commercially aware, and eager to work in a collaborative, startup-style environment.
- Degree in a numerical, financial, or analytical discipline (e.g., Mathematics, Actuarial, Finance, Economics).
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