Senior Quantitative Analyst – Trading Risk, Fraud
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Job Description
Senior Quantitative Analyst building detection systems for toxic flow, latency arbitrage, and trading fraud. Supporting risk decisions across Zeal Group’s multi-asset FinTech trading platform.
Responsibilities:
- Design and build backend infrastructure, monitoring tools, and detection algorithms to identify toxic flow, latency arbitrage, and abusive trading patterns
- Use built systems 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 production deployment of monitoring and alerting systems
- Identify process gaps and design new logic to increase automation and reduce manual intervention
- Mentor others on technical and analytical approaches as the function grows
- Report to the Head of Risk with high autonomy and minimal oversight
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 (not just using existing ones)
- 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 (preferred)
- Experience with A/B-book risk models, transaction cost analysis, or execution analytics (preferred)
- Exposure to regulatory reporting (MAR, FCA, CySEC, ASIC) (preferred)
- Track record of mentoring junior analysts (preferred)
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