Senior Quantitative Analyst - Trading Risk & Fraud

Zeal Group is an award-winning global FinTech powerhouse with 700+ professionals across London, Europe, Asia, MENA, and South America. Through our subsidiary Traze, we deliver advanced multi-asset trading solutions across Gold, Oil, FX, Indices, and Cryptocurrencies, built for today’s fast-moving, high-volatility markets.
About the Role

We are looking for a Senior Quantitative Analyst to own the technical and analytical backbone of our trading risk and fraud function. This is a hands-on, individual-contributor role — not a management position. You will design, build, and maintain the systems that detect toxic flow, latency arbitrage, and abusive trading behavior, and you will use that technology yourself to investigate, classify, and act on risk. You'll report to the Head of Risk, working with a high degree of autonomy and minimal oversight.

The ideal candidate must have hands-on experience and strong foundation with machine learning and data science in financial markets.

Responsibilities
- Design and build the backend infrastructure, monitoring tools, and detection algorithms used to identify toxic flow, latency arbitrage, and abusive trading patterns.
- Use the systems you build to investigate trading and non-trading activity, detect suspicious behavior, and report findings.
- Analyze existing and new trading products and promotions for fraud/abuse exposure and propose mitigations.
- Classify clients to support A-book/B-book decisioning and profitable execution outcomes.
- Own end-to-end delivery: from raw data extraction and hypothesis testing through to production deployment of monitoring and alerting systems.
- Continuously identify gaps in current processes and design new logic to increase automation and reduce manual intervention.
- Mentor others on technical and analytical approaches as the function grows.