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Mondrian Alpha

Lead Quantitative Analyst (Execution & Trading Analytics) – Systematic Hedge Fund – Excellent Compensation + Benefits

London
Posted about 22 hours ago
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I'm working with a highly successful systematic investment firm that is looking to hire a Senior Quantitative Analyst to join its Execution & Trading Analytics team.

This is a unique opportunity to sit at the intersection of quantitative research, market microstructure, and trading technology, helping optimise how the firm executes trades across global markets. Working directly with traders, execution engineers, and senior leadership, you'll develop the analytics, models, and tooling that underpin best execution, ensuring every trade is executed as efficiently and cost-effectively as possible.

The role combines quantitative research with software engineering, offering the opportunity to build sophisticated execution analytics, transaction cost models, and simulation frameworks that have a direct impact on trading performance.

Responsibilities:

  • Design and develop quantitative models for transaction cost analysis (TCA), market impact, slippage, and execution quality across multiple asset classes.
  • Build simulation and backtesting frameworks to evaluate execution algorithms, smart order routing logic, and venue selection.
  • Analyse tick, order, and execution data to identify opportunities to improve trading performance and reduce execution costs.
  • Partner closely with traders, execution engineers, and brokers to translate research into production trading systems.
  • Produce best execution reporting, investigate anomalies, and continuously enhance execution analytics.
  • Research market microstructure, execution science, and machine learning techniques, assessing their practical application within live trading environments.
  • Maintain high standards of model validation, documentation, and code quality while helping shape the firm's execution technology roadmap.

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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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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Requirements:

  • Master's or PhD in Mathematics, Statistics, Computer Science, Physics, Financial Engineering, or another quantitative discipline.
  • 3+ years' experience in a quantitative role covering FX, commodities, execution analytics, market microstructure, algorithmic trading, or transaction cost analysis.
  • Strong Python development skills, including experience with NumPy, pandas, scikit-learn, and similar scientific computing libraries.
  • Excellent understanding of probability, statistics, linear algebra, and stochastic modelling.
  • Experience working with large financial datasets and developing robust, production-quality research code.
  • Strong communication skills with the ability to present quantitative findings to both technical and non-technical stakeholders.
  • Experience with machine learning, order book analytics, smart order routing, SQL, kdb+, or cloud technologies would be advantageous.

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My client offers an exceptional compensation package alongside the opportunity to work on one of the firm's most strategically important initiatives, directly influencing execution quality and trading performance within a highly collaborative quantitative environment.

To apply, either respond to this advert or send your CV directly to sasha.duquesne@mondrian-alpha.com

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Skills

Quantitative Analysis
Python
Transaction Cost Analysis
Market Microstructure
Algorithmic Trading
Machine Learning
Data Analysis
Statistical Modelling
Simulation
Backtesting
Execution Analytics
Order Routing
SQL
Kdb+
Cloud Technologies

Location

London, England, United Kingdom

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