Senior Quantitative Risk & Fraud Systems Engineer

Traze; Malaysia; On-site; MYR 180,000 - 320,000; Full time

Job summary

Zeal Group, a global FinTech powerhouse, seeks a Senior Quantitative Analyst to own the technical backbone of trading risk and fraud detection. This hands-on role builds systems to identify toxic flow, latency arbitrage, and abusive trading, reporting to the Head of Risk.

The ideal candidate has hands-on ML/data science experience in financial markets, can drive end-to-end projects from data extraction to production monitoring, and demonstrates strong Python skills with a proactive, autonomous

Qualifications

• 3+ years in Quant/Trading or FX/CFD brokerage analytics
• Python proficiency mandatory
• Experience building production-grade tools and dashboards
• Evidence of end-to-end data science projects
• Strong knowledge of financial trading products 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 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

Data science

Quantitative analytics

Fraud patterns

Ownership mindset

Education

Quant degree

Tools

SQL

Job description

Zeal Group, a global FinTech powerhouse, seeks a Senior Quantitative Analyst to own the technical backbone of trading risk and fraud detection. This hands-on role builds systems to identify toxic flow, latency arbitrage, and abusive trading, reporting to the Head of Risk.

The ideal candidate has hands-on ML/data science experience in financial markets, can drive end-to-end projects from data extraction to production monitoring, and demonstrates strong Python skills with a proactive, autonomous