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Randstad Logo Randstad · Finance

Quant researcher

Singapore, Singapore · Job Posted May 19, 2026
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Job Description

We are partnering with a prominent global consultancy that specializes in digital transformation and strategic support for the financial services and fintech sectors. With an international presence of over 2,000 professionals, they empower financial institutions through streamlined operations and advanced technology strategies. Drive systematic trading analytics and risk modeling across a multi-asset desk encompassing FX, indices, and derivatives. Engineer and execute backtesting frameworks to assess P&L impact, capital efficiency, and risk constraints for hedging strategies. Create and validate quantitative models for flow toxicity, client classification, and market-making signals. Develop tactical decision-support tools and real-time dashboards for position monitoring and predictive 'what-if' analysis. Analyze complex market flows across spot and structured products to optimize market-making outcomes. Collaborate with risk and dealing teams to transform market requirements into actionable quantitative frameworks.

Job Responsibility

  • Drive systematic trading analytics and risk modeling across a multi-asset desk encompassing FX, indices, and derivatives
  • Engineer and execute backtesting frameworks to assess P&L impact, capital efficiency, and risk constraints for hedging strategies
  • Create and validate quantitative models for flow toxicity, client classification, and market-making signals
  • Develop tactical decision-support tools and real-time dashboards for position monitoring and predictive 'what-if' analysis
  • Analyze complex market flows across spot and structured products to optimize market-making outcomes
  • Collaborate with risk and dealing teams to transform market requirements into actionable quantitative frameworks

Requirements

  • Proven background in algorithmic trading, market-making, or a desk-based quantitative research role
  • Strong programming proficiency in Python and SQL
  • experience with Spark or similar big data tools is a significant advantage
  • Advanced expertise in time-series statistics, backtesting methodologies, and P&L analytics
  • Demonstrated experience building functional tools or dashboards tailored for traders and dealers
  • Familiarity with trade surveillance, flow analysis, or the mechanics of market-making
  • Knowledge of traditional markets like FX and equities is required, while exposure to crypto markets is a plus

Nice to have

  • experience with Spark or similar big data tools
  • exposure to crypto markets
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