Quant Researcher

Unchain Data; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• 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.

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 (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.

Skills

Python

SQL

Backtesting

Time-series

ML

Tools

Spark

Pandas

Dashboards

Job description

About the Company

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specializing in digital transformation for fintech and financial services companies. We provide comprehensive consulting solutions, as well as middle- and back-office support, to empower our clients with streamlined operations and cutting-edge strategies.

With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.

The Role

This Quantitative Researcher will be working across systematic trading analytics, risk modelling, and tactical decision support on a dynamic, multi-asset trading desk covering crypto, FX, indices, and derivatives. This is a hands-on role at the intersection of trading, quantitative research, and data engineering — perfect for someone who loves turning data into real trading impact. You will work closely with both risk and trading & dealing teams, building analytics, back testing frameworks, and systematic signals to support dealer P&L, optimize hedging and market-making, and enhance flow classification.

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.

Requirements

• 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.
• Strong Python programming (plus SQL; Spark or similar a plus).
• Proficient in backtesting, time-series analysis, statistics, and risk/P&L analytics.
• Experience building tools or dashboards for traders and dealers.
• Familiarity with flow analysis, market-making, or trade surveillance.

Why Join Us

• Exposure to multi-asset trading and risk across both crypto and traditional markets.
• Quant work that directly impacts P&L and trading outcomes.
• Small, agile team with room to innovate and own core quant infrastructure.
• Opportunities to learn new markets and technologies while growing your quant career.