WEBB Traders is a fast-growing, global proprietary trading company, driven by data and technology. We act as a market maker, using our own capital to trade on global stock and derivatives exchanges. By leveraging a large network of interdealer brokers and the latest advancements in electronic trading technology, we add liquidity to the financial markets specialised in cash equity and derivatives.
Since our very first trade in 2009, WEBB’s headquarters have been based in Amsterdam, nowadays supported by a strong presence in Paris. With our 70 employees of over 25 different nationalities, we are united in our great ambition to grow WEBB into a global leader in arbitrage and liquidity.
Join us to accelerate your career in the unique trading culture of openness, community, enjoyment, and boundary-free entrepreneurship.
WEBB has the ambition to become a global leading trading firm. Data analysis and automation are two core pillars of our growth and our strong risk management framework is a key foundation for it. WEBB Traders is looking for a data-driven risk manager in Amsterdam to take our company's risk management function to the next level. You will develop world-class risk tools that help identify weaknesses and opportunities. You ensure we keep the company safe, simultaneously elevating our controls into strategic edge.
Your Role
Analyse incidents
Identify risks and present risk and performance data to relevant stakeholders
Analyse complex business problems and propose solutions or enhancements
Provide clear, timely updates on planning and delivery
Monitor and manage continuous process improvements, addressing outstanding issues
Respond to ad hoc requests from stakeholders
In addition to managing market and operational risks, you will also work on understanding automated trading risks, measuring regulatory capital requirements and modelling margin requirements
What you bring to WEBB
You have 1-3 years of experience in a data scientist or risk analyst role
You have a strong interest in equities, derivatives, commodities, algorithmic trading, high frequency trading, market making and IT risk management
You are familiar with financial models
You have strong Python and SQL skills
You possess a Master’s degree in e.g. mathematics, physics, econometrics, quantitative finance, data science and you have strong analytical skills
You are fluent in English, both spoken and written
