Spectrum IT Recruitment
Sports Trading Quantitative Analyst

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An excellent opportunity has arisen for a Quantitative Analyst to join a highly talented team within the sports trading industry in central London.
You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers, and trading teams, you will play an important role in improving models and supporting data-driven decision-making.
This is an exciting opportunity for a quantitatively minded individual who is passionate about mathematics, statistics, data, and sport and wants to develop their career within a fast-paced sports trading environment.
Key Responsibilities
- Analyse and interpret large and complex sports datasets.
- Develop and improve mathematical and statistical models.
- Apply probability and statistical techniques to sports data.
- Identify patterns, trends, and opportunities within large datasets.
- Work closely with analysts, developers, and traders to improve quantitative models.
- Use data science techniques to support trading strategies and decision-making.
- Build, test, and validate models using historical and live data.
- Continuously assess model performance and identify areas for improvement.
- Present analytical findings clearly to both technical and non-technical stakeholders.
- Contribute to the development of tools and processes used within the trading environment.
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.
Skills & Experience
Essential
- Strong mathematical and statistical ability.
- Experience working with large datasets and performing quantitative analysis.
- Strong understanding of probability and statistics.
- Experience with mathematical modelling and data analysis.
- Proficiency in one or more programming languages such as Python, C#, C++ or Java.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Ability to work independently while also contributing effectively within a team.
- Strong communication skills.
Desirable
- Degree or postgraduate qualification in a quantitative subject such as Mathematics, Statistics, Computer Science, Physics, Engineering, or a related discipline.
- Experience in data science or quantitative research.
- Experience working with sports data.
- Knowledge or experience of sports trading, sports betting, or related quantitative environments.
- Experience developing predictive or statistical models.
- Understanding of machine learning techniques.


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About You
We are looking for a forward-thinking, analytical, and highly numerate individual who enjoys working with data and solving complex problems.
You will be naturally curious, commercially minded, and comfortable working in a fast-paced environment where accuracy and analytical thinking are essential.
Previous experience within sports trading is highly desirable, but strong quantitative candidates with a genuine interest in sports and an excellent technical foundation will also be considered.
Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
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