Quantitative Researcher Internship
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 12, 2026. Marex scores A on the Alion truth index.
About Marex
Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas.
For more information visit https://www.marex.com/
Department Description
Marex’s Algo and Flow department, formerly WEBB Traders, brings together expertise in proprietary trading, electronic market making, and quantitative research. The department provides liquidity across global cash equity and derivatives markets, using proprietary capital, advanced technology, and automated trading strategies.
This role sits within the WEBB team, whose roots date back to 2009. Based in Amsterdam, with a significant presence in Paris, the team combines its entrepreneurial approach and specialist trading expertise with Marex’s global reach, market access, and broader financial services capabilities.
Market makers, quantitative researchers, software engineers, and business professionals work closely together to develop trading strategies, improve technology, and solve complex market challenges. Joining the team offers the opportunity to take ownership, contribute directly to the business, and grow within the wider Marex Group.
Role Summary
Join our systematic equity options market making desk as it expands across US and European markets. Working alongside traders, quants, and developers, you'll help improve the models and tools behind our automated quoting, from volatility surface fitting to quoting performance, and get hands-on exposure to monitoring a live trading system. It's a chance to see how a market making business runs end to end, and to make contributions with a measurable impact on trading.
This internship is intended for students currently pursuing a Master's degree in a quantitative discipline, or recent Bachelor's graduates undertaking a gap year prior to further study. The minimum internship duration is 6 months.
Responsibilities
- Analyse the quality of our volatility surface fits across underlyings, identify and implement improvements
- Study quoting performance (spreads, fill rates, adverse selection, capture) and propose data-driven changes to make our markets tighter and more competitive
- Support production monitoring of the automated trading system, helping to flag anomalies, investigate issues, and improve alerting and dashboards
- Build analysis tools and scripts in our research environment to make this work repeatable
- Present findings and recommendations to the desk
Competencies:
- Analytical rigour: you question results, check your assumptions, and let data drive conclusions
- Curiosity about markets and a genuine interest in how options are priced and traded
- Ownership and reliability, especially when working near a live production system
- Clear communication, so you can explain technical findings to traders and developers
- Comfort with ambiguity and the ability to work independently once pointed in a direction
Skills and Experience:
- Currently pursuing a Master degree in a quantitative field (mathematics, financial engineering, or similar)
- Solid programming skills in Python, including pandas and NumPy
- Strong foundations in probability, statistics, and numerical methods
- Good understanding of options theory: pricing models, greeks, implied volatility dynamics and volatility surface construction
- Prior trading, research, or quant internship experience is a plus
Conduct Rules
You must:
- Act with integrity
- Act with due skill, care and diligence
- Be open and cooperative with the FCA, the PRA and other regulators
- Pay due regard to the interests of customers and treat them fairly
- Observe proper standard of market conduct
- Act to deliver good outcomes for retail customers
Company Values
Be collaborative - by working together across the organisation, we foster teamwork, can better respond to challenges and successfully deliver for our clients
Act with integrity - we pride ourselves on our honesty and high ethical standards. We apply these values when working with all our clients, colleagues and other stakeholders
Be adaptable and entrepreneurial - we embrace change as markets evolve to constantly increase our efficiency and create innovative solutions for our clients. We are interested in the world around us and inquisitive about understanding the challenges and opportunities our clients face.
Be respectful - how we treat each other, and our clients says everything about who we are. We always act respectfully and treat people fairly in everything we do.
Nurture talent - we aim to grow our own talent and make Marex the place ambitious, hardworking and talented people choose to build their career. This means giving and taking stretch opportunities, taking risks, and committing to career development and support - for ourselves, and our teams.
Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.
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