Senior Quant | Build Risk & Fraud Detection Systems

Visa Hunt; United Kingdom; On-site; GBP 90,000 - 150,000; Full time

Job summary

Zeal Group in the United Kingdom seeks a Senior Quantitative Analyst to own the back-end risk and fraud infrastructure for trading activities. You will design and deploy production-grade detection systems, investigate suspicious activity, and contribute to end-to-end analytics from data extraction to deployment.

The role requires hands-on experience with machine learning in financial markets, strong Python skills, and a proactive, self-directed approach.

Qualifications

• 3+ years' experience in Quant/Trading OR FX/CFD brokerage environment, in a quantitative, risk, or analytics role.
• Proficient experience with Python is mandatory.
• Demonstrated experience independently building and owning production-grade tools, dashboards, or systems.
• Evidence of data science related projects, ideally end-to-end driven projects.
• Strong knowledge of financial trading 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 related quantitative field.
• Comfortable working with high ownership and low supervision; proactive and self-directed.

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.

Skills

Python

Quant/Trading experience

Data science projects

Financial markets knowledge

Ownership & self-direction

Mentoring

Education

Bachelor's degree or higher in quantitative field

Tools

SQL

Job description

Zeal Group in the United Kingdom seeks a Senior Quantitative Analyst to own the back-end risk and fraud infrastructure for trading activities. You will design and deploy production-grade detection systems, investigate suspicious activity, and contribute to end-to-end analytics from data extraction to deployment.

The role requires hands-on experience with machine learning in financial markets, strong Python skills, and a proactive, self-directed approach.