# Senior Underwriting Transformation Analyst at Hiscox

Hiscox is hiring a Senior Underwriting Transformation Analyst in New York, United States. It pays $100k-$160k a year and Level rates it Uses AI ●●○○; you can [apply on Hiscox](https://jobsbylevel.com/go/794c2e4d-4f99-4a1b-a0fd-75f645b76fcb?utm_medium=ai-agent).

AI Level 2, AI centrality 48 out of 100. New York - Manhattan.

## Details

- Company: [Hiscox](https://jobsbylevel.com/companies/hiscox)
- AI level: AI Level 2 (score 48 out of 100)
- Location: New York - Manhattan
- Salary: $100k-$160k
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/794c2e4d-4f99-4a1b-a0fd-75f645b76fcb?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-underwriting-transformation-analyst-at-hiscox-120100

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-underwriting-transformation-analyst-at-hiscox-120100

## Description

Job Type: Permanent Build a brilliant future with Hiscox Senior Underwriting Transformation Analyst Reports to: VP, Underwriting Transformation Location: Atlanta, Boston, Chicago, New York, West Hartford Travel: Less than 10% The Role: The Senior Underwriting Transformation Analyst is a driving contributor to Hiscox's underwriting transformation agenda: helping close the gap between where our underwriting capabilities stand today and where we are moving in our future with emphasis on driving step-change enhancements into the Hiscox underwriting ecosystem rather than incremental, business as usual improvements. This role executes the research, analysis, and cross-functional work that turns a capability concept into something the organization can decide on and act on — evidence-based, well-argued, and ready to move. It's built for someone who wants to help drive real change forward, not administer a process. This role is AI-first by design. The analyst is expected to use AI tools (e.g., Claude, ChatGPT, Copilot) as a default working method for research synthesis, first-draft writing, data cleanup, and materials production, not as a novelty or a last resort. Deep prompt-engineering skills aren't required, but having real fluency is ideal. The ideal candidate gets excellent output quickly and reliably, with the judgment to know when that output is good enough to use, when it needs to be checked against a source, and when a task still calls for a human read. This is explicitly not a delivery, project-management, or BAU-ownership role, and it is not a data-science or engineering role. The center of gravity is research, analysis, and cross-functional execution in service of the transformation agenda, not technical build, or ongoing operational ownership. Core Responsibilities: The core responsibility of this role is to execute the research, analysis, and cross-functional work that drives capability concepts forward — turning ideas into evidence, evidence into a case, a case into something the organization can act on, and then helping to bring that action to life. The research and materials work below is how that progress gets made, not the point of the job. Market & Capability Research: Drive the market-benchmarking view forward: research competitor, MGA, and technology-entrant capabilities, using AI tools to move quickly, and surface opportunities for Hiscox Proactively flag capability gaps and market signals worth acting on, not just document what's asked for Own the capability pipeline as a living view of market urgency, keeping it sharp and current rather than a static backlog Analysis & Capability Development: Build the analytical case for capability concepts: pull and interpret the underwriting, portfolio, or operational data that determines whether an idea actually holds up Draft business cases, comparisons, and capability write-ups (AI-assisted) that move a concept from idea to something stakeholders can decide on — and push back where the logic is weak Build and maintain lightweight tools and templates (Excel, PowerPoint, AI-assisted where useful) that make recurring analysis faster and sharper Cross-Functional Execution: Drive working sessions with Operations, Underwriting, Product, and Distribution forward: show up with a point of view on the material, not just an agenda Turn cross-functional input into concrete next steps and decisions, not just notes Enable and support the execution of our most important transformation agenda initiatives Keep multiple concepts moving in parallel, chasing open items and clearing blockers so momentum doesn't stall Executive & Stakeholder Communication: Shape materials built to move a concept forward with senior stakeholders: evidence-backed, clearly argued, and able to withstand scrutiny Contribute directly to the narrative and recommendation, not just the slides underneath it Pull together consolidated views (e.g., pipeline status, competitive landscape) that keep the transformation

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