Related skills
data platform pricing models underwriters semantic layer portfolio intelligenceπ Description
- Own end-to-end Portfolio Intelligence strategy and data plan.
- Scale Batch Rating from beta to adoption across complex clients.
- Lead Portfolio Analysis launch to market adoption; drive activation and value.
- Design portfolio data layer; embed metrics into pricing models.
- Build foundations for agentic tools; enable in-context portfolio analysis.
- Partner with underwriters/actuaries to translate workflows into scalable capabilities.
π― Requirements
- Owned a customer-facing data product end-to-end, from discovery to launch and scaling.
- Built or led modern data platform components powering production decisions.
- Launched data-heavy products with deep client engagement to ensure adoption.
- Deep intuition with complex data; turn complexity into usable products.
- Partnered with engineering, design, leadership and actuaries across business use cases.
- Operate with ownership in ambiguous environments; define problems and iterate.
π Benefits
- Β£5,000 training and conference budget.
- 25 days of holiday plus 8 bank holidays.
- Company pension via Penfold.
- Mental health support via Spectrum.life.
- Private healthcare insurance through AXA.
- Cycle to Work Scheme.
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