Mustard Systems Ltd.
Graduate Programme - US Sports

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About Us
We are a small, world-class quantitative trading firm where machine learning, neural networks, and advanced data engineering drive our algorithmic trading strategies.
About the Graduate Programme
Our Graduate Programme is an excellent opportunity to start your career at the intersection of technology, mathematics, sport, and financial markets. This year's programme will focus on one particularly exciting challenge: building a new trading operation targeting emerging prediction markets in the UK and the rapidly growing US sports market.
You will join a small group of exceptional graduates working alongside experienced quants, developers, and traders. Together, you will develop the models, technology, and trading processes needed to identify and capture opportunities in new and fast-moving marketplaces. This is not a conventional graduate scheme built around classroom training and short-lived exercises. You will work on a live commercial product from the outset, solving real problems with real consequences.
Programme Content
Prediction markets are creating an entirely new landscape for quantitative trading. New exchanges, products, and market structures are appearing rapidly. Prices can move in milliseconds, liquidity can be fragmented, and similar outcomes may trade differently across multiple outlets. We are building systems to understand and trade these markets at scale.
You will be given genuine responsibility and a problem to solve from the beginning, such as:
- Process live sports, market, and pricing data
- Build a model to estimate probabilities and identify mispriced contracts
- Design, develop, and optimise high-frequency trading systems
- Analyse strategy performance in testing and live trading
- Implement tools to manage trading risk, capital, and exposure
- Investigate platforms, products, and markets to identify opportunities
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.
Start with a chat, not a search bar
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.
See breakdownIt searches the market for you
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.
There will be enough structure to help you understand the problem, but you will be encouraged to investigate, experiment, and develop your own ideas with support from the wider team.
Programme Structure
The programme lasts 12 months.
Your role will be varied and unbound by a narrow description. Developers will need to understand markets. Traders will need to understand data. Quants will need to turn their ideas into functioning systems. The team will combine software development, quantitative research, sports analysis, and trading, with each person contributing according to their strengths while learning how the whole operation fits together. The team shares ideas, solves problems, and builds better systems collectively, and each team member will develop expertise across all disciplines and support others in doing so.
As the programme progresses, you will take increasing ownership of the areas where you show the greatest ability and interest. You do not need to arrive knowing exactly what you want to specialise in. Part of the purpose of the programme is to discover your abilities and interests.
Following the initial 12 months, successful candidates will have the opportunity to join the team permanently.
Requirements
There are no specific experience requirements. You might be an exceptional developer, a strong mathematician or quantitative thinker, or a sports fanatic who has spent years analysing prices, stats, and performance. What matters is how you think.
You don't need equal strength across software development, mathematics, and sports analysis, but we look for depth in at least one area and the curiosity and flexibility to work across disciplines.


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A successful candidate will:
- Be highly analytical and enjoy solving difficult, unfamiliar problems
- Be comfortable working with large datasets and complex systems
- Have the ability to turn ideas into practical solutions independently
- Be curious and eager to learn how models, technology, and markets interact
- Enjoy working in an environment where speed, accuracy, and reliability matter, and be willing to test ideas and challenge assumptions
To apply, you must have:
- A bachelor's degree or higher in a quantitative subject from a leading university
- The right to work in the UK, or the ability to obtain it
- Evidence of something you have pursued independently outside your formal studies. This could be software you have built, research you have conducted, a model you have developed, a business or society you have started, a game you have analysed, or simply a difficult problem that captured your attention. We want to see evidence of curiosity, originality, and the ability to turn an idea into something tangible
Application Process
The process for this role is:
- A cognitive ability and problem-solving assessment
- A 30-minute phone interview with a senior member of the team
- A technical in-person interview based on the type of problems we work on
Benefits
Comprehensive benefits, including:
- Competitive salary and significant bonus potential
- Offer of permanent position to successful candidates
- Enhanced pension match with salary sacrifice option
- Health insurance and life assurance
- 33 days of annual leave (including bank holidays)
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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