Senior Quantitative Analyst - Trading Risk & Fraud

Zeal Group

10h

About The Position

Zeal Group is seeking a Senior Quantitative Analyst to lead the technical and analytical aspects of their trading risk and fraud operations. This is a hands-on, individual contributor role where the analyst will be responsible for designing, building, and maintaining systems to detect toxic flow, latency arbitrage, and abusive trading behavior. The analyst will also use these systems to investigate, classify, and act on risks. The role involves working with a high degree of autonomy and minimal oversight, reporting to the Head of Risk. A strong foundation in machine learning and data science within financial markets is essential.

Requirements

• 3+ years' experience in Quant/Trading OR FX/CFD brokerage environment, in a quantitative, risk, or analytics role.
• Proficient experience with Python is mandatory.
• Demonstrated experience independently building and owning production-grade tools, dashboards, or systems (not just using existing ones).
• Can provide evidence of data science related projects, ideally end-to-end driven projects.
• Strong knowledge of financial trading products, trading conditions, and execution mechanics.
• Understanding of fraud/abuse patterns in trading (toxic flow, latency arbitrage, manipulation).
• Bachelor's degree or higher in Mathematics, Statistics, Physics, Finance, or a related quantitative field.
• Comfortable working with high ownership and low supervision; proactive and self-directed.

Nice To Haves

• Experience with SQL.
• Experience or understanding of A/B-book risk models, transaction cost analysis, or execution analytics.
• Exposure to regulatory reporting (MAR, FCA, CySEC, ASIC).
• Track record of mentoring junior analysts.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior