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Technical Co-Founder / CTO

📍 Edinburgh (Hybrid) ⏱ Full-time or Fractional 🚀 Pre-seed • MVP Build Phase ✅ Pilot active with a leading underwriter

We're building the risk data layer for UK residential property insurance. We need a technical co-founder to own the engine.

🔧 What you'll own

  • Data engineering – API integrations with housing association asset management platforms and external datasets. Schema normalisation, variability handling, evidence mapping into a source-of-truth layer.
  • ML/AI delivery – Lead development of Ask Quinn, our AI risk agent. Auditability, governance, traceable retrieval, confidence scoring.
  • Platform & standards – Secure cloud environment (Azure/AWS), CI/CD, observability, and engineering standards from day one.
  • Team build – Post-raise, hire and lead the engineering team. Set the culture for testing discipline and delivery velocity.

👤 Who you are

  • You've built and shipped real systems end-to-end—not just contributed to them. Strong in Python, SQL, API design (FastAPI), data pipelines, and testing discipline.
  • You're comfortable at the founding stage: ambiguity, speed, wearing multiple hats, making decisions with incomplete information.
  • Production ML experience—or a strong track record of learning fast and deploying responsibly. Cloud + containers (Azure/AWS, Docker), CI/CD, monitoring.
  • You care about outcomes, not just code. You want to own a problem, not just a backlog.
  • Bonus: experience in insurance, property data, or other regulated "trust" environments—but not essential.

📋 Terms

  • Commitment: Open to a fractional start pre-funding (agreed days/week), ramping to full-time CTO post-raise.
  • Equity: Significant co-founder stake.
  • Salary: Market rate + benefits on completion of funding round (target May 2026).

📖 Context

EquiRisk turns fragmented, unstructured housing and building data into a single, verified, audit-trailed risk view for underwriting. Insurers currently price risk using incomplete compliance data scattered across siloed systems—forcing uncertainty pricing, restrictive terms, and heavy admin.

Ask Quinn delivers evidence completeness scoring, data lineage, and submission-ready risk packs so underwriters can price what they can actually see.

You'd be partnering with a CEO who brings 20 years of UK residential real estate expertise and sits on the Board of a systemically important Scottish Housing Association (Audit & Risk Committee).

  • Regulatory tailwinds: The Social Housing (Regulation) Act 2023 is forcing landlords to treat data as a core asset.
  • MVP build underway with three post-graduate engineers from University of Edinburgh Informatics.
  • Pilot active with a leading underwriter; in negotiations with housing associations.

Apply

Send your GitHub or portfolio and a line on why this interests you.
No cover letter needed—we'd rather have a conversation.

ewan@equirisk.ai