Anson McCade
Quantitative Researcher

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VP Quantitative Researcher – Equities Electronic Trading
A leading global investment bank is looking for a VP-level Quantitative Researcher to join a front-office Equities Electronic Trading team in London.
The team is responsible for developing and enhancing electronic trading strategies, execution algorithms and market analytics that support smart order routing and best execution. This is a hands-on role reporting directly to the Head of the group, with the opportunity to work closely with senior stakeholders across trading, technology and product.
Key Responsibilities
- Designing, calibrating and optimising equity execution algorithms
- Analysing market microstructure, liquidity and transaction cost data
- Developing and testing new trading signals and liquidity metrics
- Running A/B trials to assess and improve algorithm behaviour
- Building Python and q/kdb+ dashboards and tools for internal monitoring
- Improving model calibration and post-trade analysis processes
- Working closely with Trading, Product, Technology, Compliance and Risk
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.
The Ideal Candidate
- VP-level experience within electronic or algorithmic trading
- 2+ years of relevant experience, ideally within Equities
- Strong understanding of execution logic, market microstructure and transaction costs
- Strong Python skills, with q/kdb+ highly desirable
- Experience using statistical methods to analyse trading and market data
- A quantitative academic background, such as a PhD or Master’s in Mathematics, Statistics, Computer Science or Physics
- Exposure to C++ or Java production code is beneficial, although software development in these languages is not required


Get help with your application
Your very own career expert that helps elevate your application to the next level.
This is an excellent opportunity for an experienced electronic trading quant to take ownership of meaningful research and optimisation work within a front-office environment, working directly with the leadership of the group.
Location
London
If you have relevant experience in Equities Electronic Trading, Algorithmic Trading or Execution Quant Research and would be interested in learning more, please apply or get in touch for a confidential discussion.
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