Global HFT Quant Trader | Python/C++ | Multi-Region

Callisto Talent Solutions Pvt Ltd; Singapore; On-site; SGD 120,000 - 220,000; Full time

Job summary

Callisto Talent Solutions Pvt Ltd represents a leading algo trading firm expanding their quantitative trading team across multiple locations, including Singapore. They seek Quantitative Traders and Portfolio Managers to develop, test, and deploy high-frequency strategies.

You will conduct quantitative research, backtesting, strategy optimisation, and live deployment, using Python, C++, R, or kdb+ to build robust tools and improve PnL while managing risk within defined parameters.

Qualifications

• Engineering degree from a top-tier college with CS/Math/Computing or Electrical Eng.
• 2–10 years of live HFT trading experience with a proven PnL track record and strong Sharpe ratios.
• Hands-on expertise in Python, C++, R and/or kdb+.
• Experience developing and implementing trading strategies.
• Strong interest in new technologies, research and innovative trading ideas.

Responsibilities

• Develop, implement, and enhance high-frequency trading strategies across relevant markets.
• Conduct quantitative research, backtesting, and strategy optimisation.
• Deploy and monitor strategies in live trading environments.
• Analyse trading performance, risk, execution quality, and PnL.
• Work with researchers, traders, and engineers to improve trading systems and strategies.
• Build and maintain research and trading tools using Python, C++, R, kdb+ or similar technologies.
• Identify new market opportunities, signals, and approaches to improve strategy performance.
• Contribute to risk management and ensure strategies operate within defined risk parameters.

Skills

Quantitative analytics

Trading experience

Backtesting

Research mindset

Education

Tier 1 Engineering college (CS/Math/Computing or EE)

Tools

Python

C++

R

kdb+

Job description

Callisto Talent Solutions Pvt Ltd represents a leading algo trading firm expanding their quantitative trading team across multiple locations, including Singapore. They seek Quantitative Traders and Portfolio Managers to develop, test, and deploy high-frequency strategies.

You will conduct quantitative research, backtesting, strategy optimisation, and live deployment, using Python, C++, R, or kdb+ to build robust tools and improve PnL while managing risk within defined parameters.