Multi-Asset Quant Researcher: Trading Signals & Risk

Unchain Data; Singapore; Vor Ort; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

Hytech is seeking a Quantitative Researcher to work across systematic trading analytics, risk modelling, and tactical decision support on a dynamic multi-asset trading desk. You will design backtests, build models for flow classification, and develop dashboards to empower traders and risk managers with actionable analytics.

You will collaborate with risk and dealing teams, turning market data into quantitative insights that improve P&L, hedging, and market-making.

Qualifikationen

• Experience in systematic or algorithmic trading, market-making, or desk quant roles.
• Crypto exposure is a plus but not mandatory; FX, futures, or equities backgrounds welcome.
• Strong Python programming (plus SQL; Spark or similar a plus).
• Proficient in backtesting, time-series analysis, statistics, and risk/P&L analytics.

Aufgaben

• 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 (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 analytics.

Kenntnisse

Python

SQL

Backtesting

Time-series

ML

Tools

Spark

Pandas

Dashboards

Jobbeschreibung

Hytech is seeking a Quantitative Researcher to work across systematic trading analytics, risk modelling, and tactical decision support on a dynamic multi-asset trading desk. You will design backtests, build models for flow classification, and develop dashboards to empower traders and risk managers with actionable analytics.

You will collaborate with risk and dealing teams, turning market data into quantitative insights that improve P&L, hedging, and market-making.