Senior Quantitative Analyst - Trading Risk & Fraud

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.

Key responsibilities

• Design and build backend infrastructure, monitoring tools, and detection algorithms 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.

Required profile

• 3+ years' experience in Quant/Trading or FX/CFD brokerage environment, in a quantitative, risk, or analytics role.
• Proficient experience with Python; demonstrated ability to independently build and own production‑grade tools, dashboards, or systems.
• Evidence of data‑science related projects, ideally end‑to‑end driven.
• Strong knowledge of financial trading products, trading conditions, and execution mechanics.
• Understanding of fraud/abuse patterns in trading such as toxic flow, latency arbitrage, and 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.

Required skills

• Python
• SQL
• Machine Learning
• Data Science