Quantitative Researcher

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 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 We're looking for a Quantitative Researcher to join our Algo Derivatives Trading team and help us expand into systematic crypto options trading. The aim is to bring our existing derivatives expertise, models and trading infrastructure into the crypto space and build a new strategy from the ground up. You will combine research and trading in one role. That means owning ideas from first hypothesis through backtesting and deployment to live management: monitoring real-time P&L and risk, tracking execution quality, and deciding when to scale, adjust or retire a strategy. You'll work closely with traders and developers in a small, collaborative team where your research goes straight into production. Responsibilities Contribute research into crypto options markets, including their volatility dynamics, term structure and skew, and how they differ from the traditional derivatives markets we trade today Build and maintain crypto volatility surface models Design and develop a systematic crypto options strategy from the ground up, from first hypothesis to a production-ready model Work with developers on market data pipelines and execution infrastructure for the new asset class, and deploy models to production Competencies: Ownership and entrepreneurial drive: you should be comfortable building something new and not relying on existing know-how Scientific rigor: you're skeptical of your own results, especially with short data histories and changing regimes, and disciplined about overfitting and statistical significance Collaboration and communication: you work closely with other team members to share your findings but also learn from them Curiosity and adaptability: you are passionate about derivatives and crypto markets, and you're always thinking about the next edge Skills and Experience: A master degree in a quantitative field such as mathematics, physics, statistics, computer science or financial engineering. A PhD is a plus A previous experience (long term internship or 1-2 year) in systematic trading, ideally in options A strong grasp of options theory: pricing models, greeks, implied volatility dynamics and volatility surface construction Solid statistics and analytical skills, supported by an experience with machine learning techniques Strong Python coding experience in a professional environment (git, Linux, package management, CI/CD) Strong interest in crypto derivatives markets. Experience in the area is a plus but not essential 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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