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Quantitative Researcher - Prediction Markets, Quant Trading

🇬🇧 London, Wielka Brytania Na miejscu IT Senior Opublikowano Cze 12, 2026
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Lokalizacja London, Wielka Brytania
Tryb pracy Na miejscu
Poziom doświadczenia Senior
Kategoria IT
Kategoria IT Data Science i ML
Język English
Opublikowano 12 czerwca 2026
Ostatnio sprawdzono 12 czerwca 2026
Kontekst JobGrid

Podsumowanie roli od JobGrid

Quantitative Researcher - Prediction Markets, Quant Trading at crypto: London, Wielka Brytania; Na miejscu; Senior; IT; Data Science i ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: London, Wielka Brytania, Na miejscu
  • Role classification: IT, Data Science i ML, Senior
  • Source freshness: checked by JobGrid on 2026-06-12.
  • Application path: candidates continue to the employer application page with non-personal referral tags.
We’re building a new quantitative research team focused on pricing, market-making, and risk models for prediction markets. This is a highly hands-on role for someone who can operate end-to-end: data engineering, research, modeling, and close collaboration with traders, across sports and non-sports event markets and a range of contract types, including single-outcome markets, player props, and parlays.

Responsibilities:

  • Build data foundation, transform raw data into pricing inputs
  • Research and develop quantitative pricing, market-making, and risk models across sports, non-sports, player props, parlays, and correlated markets
  • Model cross-market dependencies, correlations, and portfolio effects, especially for combinatorial products such as parlays
  • Partner closely with traders to improve pricing logic, market coverage, and trading performance
  • Build frameworks for backtesting, simulation, and model validation
  • Create tools to monitor model performance, calibration, P&L attribution, and live trading outcomes
  • Help define the tooling, workflow, and research standards for a new team

Requirements:

  • Strong quantitative background in statistics, math, ML, economics, or a related field
  • Experience building models in trading, sports, betting, prediction markets, or similar domains
  • Strong Python/data skills and comfort owning data pipelines as well as modeling
  • Ability to move quickly from raw data to research insight to production-ready mode
  • High ownership, strong communication skills and comfortable with fast-paced high growth environment