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At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry - which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.
Job Responsibility:
Act as a subject matter expert in pricing across commercial, specialty, and reinsurance - joining complex client and sales conversations, running best-practice workshops, and representing hx at industry forums
Partner with senior stakeholders (Chief Actuaries, CUOs, Heads of Pricing) as a trusted advisor - guiding strategic conversations on pricing transformation, workflows, and portfolio strategy, and stepping in to resolve challenges with “amber-red” accounts
Support customers through their transformation journeys - helping deploy new models, re-engineer workflows, and embed modern pricing processes, while building practical assets (reference models, reporting pipelines, workflow enhancements) that accelerate value from hx Renew
Feed back client and market insights into hx - informing our product roadmap and ensuring we prioritise solutions that matter most to the business, not just technically
Contribute to innovation projects - exploring new methods, data sources, or AI applications that reshape pricing and underwriting.
Requirements:
Be a newly or recently qualified actuary with pricing experience in commercial, specialty, or reinsurance markets (reinsurance exposure is a plus, but not essential)
Contributed to the development or enhancement of pricing models, with some experience of how models are applied in live underwriting
Shown the ability to work effectively with stakeholders whether peers or senior colleagues - by explaining technical work clearly and supporting decisions that go beyond the model
Worked hands-on with actuarial and analytical tools (e.g. R, Python, data pipelines), and comfortable discussing methods, assumptions, and trade-offs with rigour.
Nice to have:
Reinsurance exposure is a plus, but not essential.
What we offer:
£5,000 training and conference budget for individual and group development
25 days of holiday plus 8 bank holidays (33 days total)
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life
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