Harrington Starr
Trader

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Quantitative Sports Trader – European & Asian Markets
Location: Europe (working hours aligned with European and Asian sporting markets)
Experience: 2–8 years
Technology: Python and/or C#
Markets: Sports pricing, prediction markets, betting exchanges, in-play trading
Role description
Quantitative Sports Trader opportunity with a specialist sports pricing and trading business applying quantitative modelling, trading, and risk management techniques to sports markets.
The team is expanding its European and Asian market coverage, with a focus on pricing and trading sports events across pre-match and in-play markets. The successful candidate will combine statistical modelling, market analysis, and commercial decision-making to identify opportunities and manage risk.
The role sits between a sportsbook trader, quantitative researcher, and financial-market trader. The successful candidate will help price and trade European and Asian sporting markets, improve models, and develop the systems used to manage live exposure.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Price pre-match and in-play sports markets using quantitative models and market information.
- Develop and improve probabilistic pricing models.
- Identify mispriced markets and trading opportunities across sportsbooks, exchanges, and prediction markets.
- Manage positions, limits, correlations, and event-level exposure.
- Monitor live events and react to new information.
- Analyse historical results, model performance, and calibration.
- Automate and improve repeatable parts of the pricing and trading process.
- Work closely with researchers and developers to improve data, execution, and risk systems.
- Provide trading coverage across European and Asian sporting hours.
Ideal candidate


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The strongest candidates will typically have:
- Experience within a sportsbook trading team, betting exchange, prediction market, or sports trading environment.
- Experience pricing or trading sports markets, either pre-match or in-play.
- Strong probability, statistical reasoning, and quantitative modelling skills.
- Understanding of odds, implied probability, and expected value.
- Experience managing exposure, limits, or commercial risk.
- Python, C#, or comparable programming experience.
- Ability to distinguish model accuracy from trading profitability.
- Interest in building and improving trading processes rather than simply operating existing systems.
Candidates from quantitative sportsbook teams, sports market-making businesses, prediction markets, sports-data providers, or quantitative trading environments with direct sports exposure may be highly relevant.
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