Lieu
London, Royaume-Uni
Mode de travail
Sur site
Seniorité
Senior
Catégorie
IT
Catégorie IT
Data Science et ML
Langue
English
Publié
12 juin 2026
Dernière vérification
12 juin 2026
Contexte JobGrid
Résumé du poste par JobGrid
Quantitative Researcher - Prediction Markets, Quant Trading at crypto: London, Royaume-Uni; Sur site; Senior; IT; Data Science et 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, Royaume-Uni, Sur site
- Role classification: IT, Data Science et 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