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Quant Research - Equity

Yacine Merouchi

Nationality: British-Algerian

Education: Master in Mathematics and Computer Science (Oxford), MS in Computer Science (Stanford)

  • As a Quantitative Researcher, I am responsible for the entire process of creating alphas, from exploring real-world datasets to creating forecasts and monitoring them in production. This requires creativity and collaboration with my incredibly talented peers. The projects we tackle are both challenging and important, and the path forward is rarely clear-cut.
  • Work-life balance here is important. In addition to my work, I lead a fulfilling life as a new father. Marshall Wace offers a six-week paternity leave which has allowed me to spend precious time with my family.

Quant Research - Equity

Hannah Moran

Nationality: British

Education: PhD in Chemical Engineering (Imperial College London)

  • Being a Quantitative Researcher at Marshall Wace gives me access to a vast range of datasets, meaning the job is always interesting, varied and challenging. From day one I’ve been assigned meaningful projects and been able to clearly see the impact of my work. The team fosters a collaborative environment in which sharing with, and learning from, others is enabled and encouraged.
  • There is a strong culture of community and giving back at Marshall Wace, and the company has been really supportive of my voluntary work as a charity trustee. It’s a workplace where every individual’s different interests and passions are valued and respected.

Quant Research - Equity

Hannah Moran

Nationality: British

Education: PhD in Chemical Engineering (Imperial College London)

  • Being a Quantitative Researcher at Marshall Wace gives me access to a vast range of datasets, meaning the job is always interesting, varied and challenging. From day one I’ve been assigned meaningful projects and been able to clearly see the impact of my work. The team fosters a collaborative environment in which sharing with, and learning from, others is enabled and encouraged.
  • There is a strong culture of community and giving back at Marshall Wace, and the company has been really supportive of my voluntary work as a charity trustee. It’s a workplace where every individual’s different interests and passions are valued and respected.

Quant Implementation

Bowen Tang

Nationality: Chinese

Education: MSc in Investment and Wealth Management (Imperial College London)

  • The Quant Developer role at Marshall Wace is multifaceted and dynamic. One of my primary responsibilities is monitoring live trading models and addressing production issues. Additionally, I collaborate with researchers to implement and refine our strategies, and work across teams to enhance our system and infrastructure.
  • What sets Marshall Wace apart for me is the intellectually stimulating environment and endless learning opportunities. Here I work with cutting-edge technologies and brilliant minds, and we continually expand our knowledge, with the aim of ensuring we remain at the forefront of the field.

Quant Research - Macro

Mustafa Warsi

Nationality: Indian

Education: BA and MMath in Mathematics (Cambridge)

  • I work in the Systematic Macro team, which involves trading a variety of asset classes. My day involves brainstorming, testing ideas, parsing and analysing data, and ultimately writing code to systematise and productionise all of this.
  • Why do I like Marshall Wace? I get to spend time analysing data to better understand how the world works alongside accomplished and interesting people in a beautiful environment. What’s not to like about this?

Quant Research - Macro

Mustafa Warsi

Nationality: Indian

Education: BA and MMath in Mathematics (Cambridge)

  • I work in the Systematic Macro team, which involves trading a variety of asset classes. My day involves brainstorming, testing ideas, parsing and analysing data, and ultimately writing code to systematise and productionise all of this.
  • Why do I like Marshall Wace? I get to spend time analysing data to better understand how the world works alongside accomplished and interesting people in a beautiful environment. What’s not to like about this?

Quant Implementation

Zehui Jin

Nationality: Chinese

MS in Computational Science and Engineering (Harvard)

Education: MS in Business Analytics (Columbia University)

As part of the New York quant implementation team, I work closely with colleagues in both New York and London, providing global support for systematic models. My projects span a diverse array of asset classes, including equity, volatility, and commodity. This broad exposure not only offers valuable learning opportunities but also inspires me to explore how insights can be shared across asset classes to enhance portfolio management.

Personal growth is vital for career development, and in Marshall Wace, I have greatly benefited from strong support for continuous learning, which is both valued and financially sponsored. I also appreciate the numerous internal teach-in sessions that foster generous knowledge sharing across various areas of expertise.

Quant Research - Equity

Casper Beentjes

Nationality: Dutch

Education: MSc in Mathematical Modelling and Scientific Computing and DPhil in Mathematics (Oxford)

• Part of the appeal of working at Marshall Wace for me is the wide scope of projects available to us right from the start, from exploring novel datasets and signal construction methods to portfolio construction and implementing realistic trading logic. This has enabled me to understand how financial markets operate at scale and what it takes to trade fully systematically, all the way from idea generation to actual trades.
• Compared to my time in academia, the work we do here is guaranteed to be highly relevant and often has a direct impact on our live codebase and trading systems, providing a quick feedback loop via the markets. Being able to do this work in a collaborative environment with smart colleagues is the icing on the cake.

Quant Research - Equity

Casper Beentjes

Nationality: Dutch

Education: MSc in Mathematical Modelling and Scientific Computing and DPhil in Mathematics (Oxford)

• Part of the appeal of working at Marshall Wace for me is the wide scope of projects available to us right from the start, from exploring novel datasets and signal construction methods to portfolio construction and implementing realistic trading logic. This has enabled me to understand how financial markets operate at scale and what it takes to trade fully systematically, all the way from idea generation to actual trades.
• Compared to my time in academia, the work we do here is guaranteed to be highly relevant and often has a direct impact on our live codebase and trading systems, providing a quick feedback loop via the markets. Being able to do this work in a collaborative environment with smart colleagues is the icing on the cake.

Programme Overview

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Application Process

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