Associate AI-Driven Quant Trader

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

Job summary

Torchcast AI in Singapore is seeking a curious, rigorous quantitative trader to turn research ideas into executable strategies across markets. The role covers opportunity discovery, hypothesis design, data analysis, backtesting, execution, and live performance review.

This associate-level position welcomes candidates with strong quantitative foundations; prior full-time trading experience is not required as internships, competitions, and independent projects may be considered.

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.
• Sound judgement, intellectual honesty, attention to detail, and respect for risk controls and confidential information.
• Clear written and verbal communication in a collaborative environment.

Responsibilities

• Discover opportunities.
• Design strategies.
• Research with discipline.
• Apply AI thoughtfully.
• Move from research to trading.
• Own risk.
• Communicate clearly.

Skills

Python

SQL

C++

Probability

Statistics

Time-series

Optimization

Research design

Machine learning

Communication

Education

Master's or PhD in quantitative discipline

Tools

Python

Job description

Torchcast AI in Singapore is seeking a curious, rigorous quantitative trader to turn research ideas into executable strategies across markets. The role covers opportunity discovery, hypothesis design, data analysis, backtesting, execution, and live performance review.

This associate-level position welcomes candidates with strong quantitative foundations; prior full-time trading experience is not required as internships, competitions, and independent projects may be considered.