Requirements
Requires 5+ years of experience in a trading, FX, or CFD brokerage environment in a quantitative, risk, or analytics role. Must have demonstrated experience independently building and owning production-grade tools, dashboards, or systems. Strong knowledge of FX and CFD products, trading conditions, and execution mechanics is essential, along with an understanding of fraud and abuse patterns in trading. A Bachelor's degree or higher in a quantitative field like mathematics, statistics, physics, or finance is required, along with comfort working with high ownership and low supervision.
Description
Job description / Role
Job Type
Full Time
Job Location
UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Finance, Business Analysis & Consulting
Company Industry
Finance, Investment & Asset Management
About the role
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.
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.
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 and 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.
Requirements
Must have
5+ years' experience in a trading, FX, or 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 and CFD products, trading conditions, and execution mechanics.
Understanding of fraud and 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.
Preferred
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.
This role suits someone who wants to build something from the ground up and use it, not just analyze data others have prepared. If you're a quant who thinks in systems, takes initiative without being asked, and wants ownership over a real risk function — this is built for you.
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