Saragossa
Quantitative Researcher at one of the most well-paid multi-strat Quant firms

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Looking for a deep learning role that could make the Mariana trench seem like a puddle?
This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk.
- You’re going to be part of headcount growth this year to over 1000 which includes a 20% increase into research.
- You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals.
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.
You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over the last few years, with AUM and headcount growing. Despite their larger size, their structure remains collaborative and not solely pod-shop based, a rare find for an investment firm of this calibre.
Requirements
- You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field.
- Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required.


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Compensation
- Want to join? Get in touch. Salary and total compensation is purely based on performance of your models and the overall business – we can discuss your comp requirements in depth when you get in touch.
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- No up-to-date CV required.
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