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Anson McCade

Quantitative Analyst

London
£65k – £90k/yr
Posted 3 days ago
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Quantitative Analyst

About the Company

My client is a global investment management firm that utilises a diversified portfolio of systematic and quantitative strategies across financial markets, seeking to achieve high-quality, uncorrelated returns for their clients. They boast deep expertise in trading, technology, and operations, attributing their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting-edge systems, from high-performance trading platforms to large-scale data analysis and compute farms. With offices worldwide, they emphasise true, global collaboration, aligning their investment, technology, and operations teams functionally across regions.

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

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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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.

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Strong

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.

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About the Role

Overview of Desk Quant Analyst Position

Maintain and upgrade the codebase and configuration of strategies within the firm’s automated trading framework. Manage large datasets used in both research and production environments. Perform live and historical monitoring of trading activities, such as post-trade analysis or production reconciliation. Work in close collaboration with quant researchers and traders to understand the constantly evolving needs of the trading desks.


Responsibilities

  • Before market open: Check that all required data and related processes are ready for the trading day.
  • During market hours: Intermittently monitor the behaviour and performance of strategies.
  • Contribute to various longer-term projects, including expanding systematic trading activities and ensuring their robustness.

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Qualifications

  • Degree in Engineering, Computer Science, or a related technical subject.

Required Skills

  • Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
  • Great attention to detail.
  • Strong communication skills and ability to work effectively with colleagues across multiple regions.
  • Ability to work well under pressure.

Preferred Skills

  • Knowledge of Q/KDB+.
  • Knowledge of Linux and Bash.
  • Advanced quantitative skills.
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Skills

Programming Proficiency
Attention To Detail
Communication Skills
Ability To Work Under Pressure
Knowledge Of Q/KDB+
Knowledge Of Linux
Knowledge Of Bash
Advanced Quantitative Skills

Location

London, England, United Kingdom

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