Senior Quantitative Analyst - Risk & Fraud Systems

Traze

Hong Kong

In loco

HKD 600.000 - 900.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Zeal Group, a global FinTech powerhouse, is seeking a Senior Quantitative Analyst to own the risk and fraud analytics backbone of our trading platform. This hands-on role focuses on building detection, monitoring, and automation to identify toxic flow and latency arbitrage, with autonomy reporting to Head of Risk.

You will leverage machine learning and data science in financial markets, design end-to-end pipelines, and mentor junior analysts as the function grows.

Competenze

  • 3+ years in Quant/Trading or FX/CFD brokerage in a quantitative or analytics role
  • Proficient in Python; experience building production-grade tools
  • Experience delivering 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)
  • Bachelor's degree or higher in a quantitative field
  • Self-directed with high ownership

Mansioni

  • Design and build backend infrastructure, monitoring tools, and detection algorithms used to identify toxic flow, latency arbitrage, and abusive trading patterns
  • Investigate 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

Conoscenze

Python
Quant/Trading
Data Science
Machine Learning
End-to-end Projects
Financial Markets Knowledge

Formazione

Bachelor's degree in Mathematics/Statistics/Physics/Finance

Strumenti

SQL
Dashboards/Monitoring Tools
Production-grade Tools

Descrizione del lavoro

Zeal Group, a global FinTech powerhouse, is seeking a Senior Quantitative Analyst to own the risk and fraud analytics backbone of our trading platform. This hands-on role focuses on building detection, monitoring, and automation to identify toxic flow and latency arbitrage, with autonomy reporting to Head of Risk.

You will leverage machine learning and data science in financial markets, design end-to-end pipelines, and mentor junior analysts as the function grows.

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