Durlston Partners
Quantitative Researcher

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We're Hiring — HFT Quant | Tier-1 Proprietary Trading Firm
We're partnered with a leading global proprietary trading firm hiring HFT Quants to join one of their core high-frequency trading teams. This is an excellent opportunity to join a top-performing, latency-sensitive business with world-class infrastructure, deep capital, and a strong engineering and research culture.
About the Role
As an HFT Quant, you'll be responsible for researching, developing, and refining high-frequency trading strategies. You'll work at the intersection of research, trading, and low-latency engineering — building signals, improving execution, and driving measurable PnL in a highly competitive environment.
The firm is open across asset classes — including equities, ETFs, futures, options, FX, and commodities — depending on your background and interest.
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.
Key Responsibilities
- Research, develop, and deploy high-frequency trading strategies
- Build and refine alpha signals, execution logic, and risk controls
- Work closely with low-latency engineers to optimise model performance in production
- Analyse market microstructure, order book dynamics, and execution behaviour
- Use large, high-resolution datasets to identify and validate trading opportunities
- Take ownership of live strategy performance and contribute directly to PnL
About You
- Strong academic background — MSc or PhD in a quantitative discipline (Maths, Physics, CS, Statistics, Engineering, or similar) from a top university
- 1–7+ years of experience as an HFT Quant, Quant Researcher, or Quant Trader at a prop firm, hedge fund, or market maker (firm open on seniority — junior through senior considered)
- Strong programming skills (C++ and/or Python)
- Deep understanding of market microstructure and order book dynamics
- Comfortable working with very large, high-frequency datasets
- Sharp analytical thinking, strong intuition for latency and execution, and strong engineering mindset
- Track record of building strategies that have generated live HFT PnL is a strong plus
- Highly motivated, collaborative, and thrives in a fast-moving, competitive environment


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Location
Multiple offices globally — open to discussion based on candidate location and strategy focus.
Compensation
Highly competitive base + performance-driven bonus structure, among the best in the industry.
“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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