About

Challenge the model. Own the decision.

I am a PhD mathematician and hands-on data leader who works across quantitative research, AI products, sports data and computer vision. I am most useful in 0-to-1 environments where the team needs both a rigorous technical path and a clear operating cadence.

Jordan Moore, PhD

Turn technical possibility into accountable operation.

My career has moved through engineering analytics, semantic data, gaming, web3 economics, sports betting and AI content. The domain changes; the leadership problem is remarkably consistent: define the decision, build the evidence path, expose failure modes and leave the team with a system it can run.

Jordan Moore
Cambridge, EnglandPhD Mathematics · Technical leader · Builder

Current remit

Three ways I lead.

Quant research

Signals, research governance, backtesting, shadow and live validation, monitoring, exposure and promotion evidence.

Technology & AI

Sports-data product architecture, annotation and QA infrastructure, computer vision and benchmark design.

AI product

Event ingestion, retrieval, generation, evaluation and human review for sports editorial workflows.

Operating principles

What teams get from me.

Direction with technical depth

A roadmap that names the decision and the interfaces—not just a sequence of tools.

Visible standards

Validation packs, review criteria and failure taxonomies that turn quality into a team habit.

Calm delivery cadence

Small, observable increments; clear ownership; hard conversations before expensive commitments.

Track record

Across the full data path.

2026 → now

Quant, sports data & AI leadership

Embedded roles spanning research systems, computer vision, annotation infrastructure and sports editorial AI.

2024 → 2025

Senior quantitative research

Led tokenomics and data-engineering work across Monte Carlo simulation, on-chain pipelines and executive decision systems.

2021 → 2024

Gaming data science

Forecasting, pricing, churn, experimentation, Snowflake/Tableau pipelines and commercial analytics at Marmalade and Jagex.

2013 → 2021

Research and analytical foundations

Engineering and retail analytics, semantic-data products and a PhD in computational geometry and image processing.

Beyond work

Still happiest learning something difficult.

I coach judo, run, hike and cycle; I read a lot of military history and take cooking and baking more seriously than is strictly necessary.

Full detail

The full record.

The current CV has the complete chronology and stack.

Open CV