Quantitative Trading Research Associate

Torchcast AI; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Torchcast AI is seeking a curious, rigorous associate-level quantitative trader to turn research ideas into executable strategies. The role spans hypothesis design, data analysis, backtesting, and live performance review, with emphasis on disciplined research and AI-enabled workflows.

The ideal candidate has strong quantitative foundations, hands-on research experience, and solid skills in Python, statistics, and time-series analysis. Singapore-based with on-site expectations.

Qualifications

• Master's or PhD in a quantitative discipline is preferred; exceptional candidates with equivalent research or trading experience are welcome.
• Strong grounding in probability, statistics, linear algebra, time-series analysis, optimisation, and experimental design.
• Ability and genuine interest in independently finding trading opportunities, testing them sceptically, and designing practical strategies.
• Strong Python skills and comfort working with data and research code; SQL is useful, and C++ or another performance-oriented language is a plus.
• Hands-on AI or machine-learning experience is preferred, together with an understanding of leakage, non-stationarity, explainability, and model risk.

Responsibilities

• Discover opportunities by generating and prioritizing hypotheses from market structure, price behaviour, cross-asset relationships.
• Design systematic strategies with signals, portfolio construction, entry/exit logic, risk limits, and capacity.
• Research with discipline by building reproducible datasets and backtests; control for leakage and costs.
• Apply AI thoughtfully to signal discovery, forecasting, regime detection, or research automation where value is added.
• Move from research to trading by defining paper-trading and deployment criteria; monitor live behavior.
• Own risk by evaluating drawdowns, tail scenarios, liquidity, and model instability before and after launch.
• Communicate clearly assumptions, results, limitations, and trade-offs to traders, researchers, and engineers.

Skills

Python

Statistics

Time-series analysis

Optimization

Experiment design

SQL

C++

ML/AI experience

Communication

Education

Master's or PhD in a quantitative discipline

Tools

Pandas/Numpy

SQL

Git

Job description

Torchcast AI is seeking a curious, rigorous associate-level quantitative trader to turn research ideas into executable strategies. The role spans hypothesis design, data analysis, backtesting, and live performance review, with emphasis on disciplined research and AI-enabled workflows.

The ideal candidate has strong quantitative foundations, hands-on research experience, and solid skills in Python, statistics, and time-series analysis. Singapore-based with on-site expectations.