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Duotech PTE. LTD. is seeking a Quantitative Researcher to work in a dynamic, multi-asset trading environment focused on systematic trading analytics and risk modeling. The role involves building analytics and decision-making tools that directly impact trading outcomes, with a strong emphasis on collaboration with traders and risk management teams.
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Job Summary
This role involves working across systematic trading analytics, risk modelling, and tactical decision support for a dynamic multi-asset trading desk.
You will build and validate models for client classification, flow toxicity, and market-making signals using both rule-based and machine learning approaches.
The position offers exposure to crypto and traditional markets within a small, agile team where quant work directly impacts P&L and trading outcomes.
Matching Summary
Match Score: 75
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Duotech PTE. LTD. is seeking a Quantitative Researcher to work in a dynamic, multi-asset trading environment focused on systematic trading analytics and risk modeling. The role involves building analytics and decision-making tools that directly impact trading outcomes, with a strong emphasis on collaboration with traders and risk management teams.
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Skills & Requirements
Must-have
Strong Python programming skills
Experience in systematic trading
Proficiency in backtesting frameworks
Knowledge of time-series statistics
Risk and P&L analytics expertise
Nice-to-have
Crypto market exposure
Spark or similar big data tools
Machine learning model validation
FX, futures, or equities background
Dashboard development experience
Key Requirements
Prior experience in systematic or algorithmic trading