Overview:-

A Dublin-based trading team is looking to hire a Quantitative Trader to operate in live prediction markets, primarily across sports. This position blends fast decision-making in active markets with responsibility for the models, data, and systems that drive trading outcomes. You’ll be expected to both execute and improve — shaping how strategies are built, deployed, and iterated.

What You’ll Do:-

1. Execute trades in real time using internal signals, models, and market information.
2. Build, refine, and manage pricing and execution frameworks across relevant markets.
3. Work alongside researchers and engineers to improve model quality, expand data inputs, and optimise trading infrastructure.
4. Analyse trading outcomes to understand performance drivers, model behaviour, and market response.
5. Spot and act on structural inefficiencies in how markets price events, react to information, and manage liquidity.
6. Enhance internal tools and processes to increase speed, reliability, and decision quality.

What They’re Looking For:-

1. Strong academic background in a quantitative discipline (e.g. maths, stats, physics, computer science, economics).
2. Deep interest in sport (football/soccer or golf in particular), with an understanding of both the game itself and how it is priced in markets.
3. Solid Python skills, with experience working on data-heavy problems and building practical tooling.
4. Exposure to live trading environments or similarly competitive, time-sensitive settings.
5. Sharp probabilistic thinking and comfort making decisions under uncertainty.
6. Ability to move between research and execution — not purely theoretical.
7. Comfortable owning problems end-to-end, from idea generation through to live deployment.
8. Clear communicator, able to explain reasoning and challenge ideas constructively.
9. Willingness to work hours aligned with key sporting events.

Apply:-

Please send a PDF CV to

mailto:quants@ekafinance.com