Senior Quantitative Analyst - Trading Risk & Fraud
Z
Zeal GroupFinTech
London, England, United Kingdom. Cyprus. Malaysia. Hong Kong, Hong Kong, Hong Kong. United Arab EmiratesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLData Analysis
Requirements
- 5+ years' experience in a trading/FX/CFD brokerage environment, in a quantitative, risk, or analytics role.
- Demonstrated experience independently building and owning production-grade tools, dashboards, or systems.
- Strong knowledge of FX/CFD 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.
- Experience with Python and/or SQL for data analysis and system-building.
- Experience with 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.
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