Senior Quantitative Analyst - Trading Risk & Fraud

Leadingnation; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Zeal Group in Hong Kong is seeking a Senior Quantitative Analyst to own the technical backbone of trading risk and fraud. This hands-on, IC role designs, builds, and maintains systems that detect toxic flow, latency arbitrage, and abusive trading behavior, with autonomy and minimal oversight.

You will report to the Head of Risk and mentor junior analysts as the function scales, while applying production-grade analytics to complex markets globally.

Qualifications

• 5+ years' experience in a trading/FX/CFD brokerage environment, in a quantitative, risk, or analytics role.
• Proven ability to independently build and own production-grade tools, dashboards, or systems.
• Strong knowledge of FX/CFD products, trading conditions, and execution mechanics.
• Understanding 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.

Responsibilities

• Design and build 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

Skills

Quantitative analytics

Production-grade tools

Trading/FX/CFD domain

Fraud/abuse detection

Education

Bachelor's degree or higher in Mathematics

Statistics, Physics, Finance or related field

Tools

Python

SQL

Job description

• Must have
• Track record of mentoring junior analysts
• You will design, build, and maintain the systems

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.

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

Requirements

Must have

• 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

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.