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.
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.
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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