Harnham
Senior Quantitative Analyst - Sports Markets

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Do you want to build models that get used in the real world? Have you ever applied your maths to beat complex, high-stakes prediction problems? Are you ready to join a high-performing team trading in global sports markets?
Join a City-based investment firm using advanced statistics and data science to model sporting outcomes. With a lean team and flat structure, you’ll own your work end-to-end — from research through to production — in an environment that values rigour, creativity, and impact. This is a chance to work directly with traders and researchers in a collaborative, non-corporate setup where your code and ideas will shape the future of their trading strategies.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
The Role
- Build predictive models for sports outcomes (e.g. football, cricket, tennis)
- Analyse real-world data using advanced stats and probabilistic reasoning
- Work cross-functionally with trading and software teams
- Deploy models that directly inform trading decisions globally
What They're Looking For
- MSc or PhD in a quantitative/STEM field (Maths, Stats, Physics, Engineering)
- 5–10 years’ experience in data/quant-focused roles
- Strong coding in Python (R and MATLAB welcome; C# desirable)
- Solid understanding of statistics and probability
- Professional experience working with messy, real-world datasets
- Interest in sports (trading background not required)


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Key Details
- Salary: £100,000 – £150,000 + bonus (10–20%, paid twice yearly)
- Location: Central London – 5 days onsite
- Visa: Sponsorship available
- Benefits: Health insurance, pension, gym access during working hours, team outings, flat structure, high autonomy
Interested? Please apply below.
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