Quant Researcher - Multi-Asset Trading & Risk Analytics

Hytech

Singapore

On-site

SGD 120,000 - 180,000

Full time

2 days ago
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Job summary

Hytech is seeking a Quantitative Researcher to work across systematic trading analytics, risk modelling, and tactical decision support. You will join a dynamic desk handling crypto, FX, indices, and derivatives, turning data into trading impact.

Close collaboration with risk and trading teams will drive analytics, backtesting, and signals that support dealer P&L and hedging decisions. This hands-on role blends trading, quantitative research, and data engineering; you will build analytical tools,

Qualifications

  • Prior experience in systematic or algorithmic trading, market‑making, or desk quant roles.
  • Crypto exposure is a plus (not mandatory). FX, futures, or equities backgrounds welcome.
  • Proficient in backtesting, time‑series/statistics, and risk/P&L analytics.
  • Built tools or dashboards for traders/dealers.
  • Familiar with flow analysis, market‑making, or trade surveillance.

Responsibilities

  • Design and run backtests on trading, hedging, and risk strategies, evaluating P&L impact, risk limits, and capital usage.
  • Build and validate models for client classification, flow toxicity, and market‑making signals (both rule-based and machine learning).
  • Develop dashboards and tactical decision tools for traders and risk managers, including position monitoring and "what-if" analysis tools.
  • Work across crypto, FX, indices, and derivatives to analyze spot, derivative, and structured product flows.
  • Partner closely with traders, dealers, risk, and data teams to translate market needs into quantitative frameworks and actionable analytics.

Skills

Backtesting
Time-series analysis
Risk analytics
Python
SQL

Tools

ML frameworks
Dashboards

Job description

Hytech is seeking a Quantitative Researcher to work across systematic trading analytics, risk modelling, and tactical decision support. You will join a dynamic desk handling crypto, FX, indices, and derivatives, turning data into trading impact.

Close collaboration with risk and trading teams will drive analytics, backtesting, and signals that support dealer P&L and hedging decisions. This hands-on role blends trading, quantitative research, and data engineering; you will build analytical tools,

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