Anson McCade
Quantitative Researcher

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Quantitative Researcher
About the Company
My client is leading a quantitative hedge fund which engages in systematic, process-driven proprietary trading. The firm builds automated trading strategies aimed at capturing market inefficiencies across various markets and asset classes, from a few milliseconds to longer term—both pure arbitrage or statistical in nature. The team has an extensive history of successfully running quantitative trading strategies for over a decade and spun out as a hedge fund. They operate at the intersection of trading, quantitative modelling, and technology, making roles highly interdisciplinary.
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.
About the Role
Overview of Position
- Research and implement strategies within the firm’s automated trading framework.
- Analyze large datasets using advanced statistical methods to identify trading opportunities.
- Develop a strong understanding of market structure across various exchanges and asset classes.
Responsibilities
- Primary focus each day: Researching and implementing trading ideas.
- Before market open: Verify all requisite data and related processes are prepared for the trading day.
- During market hours: Sporadically monitor strategy behaviour and performance.


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Qualifications
- Quantitative background— Include degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics.
Required Skills
- Programming proficiency with at least one major programming or scripting language (e.g., C++, Java, Python).
- Strong communication skills and ability to collaborate effectively across multiple regions.
- Ability to work well under pressure.
“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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