HFT Trader - Singapore/HK/India/Amsterdam

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

Our client is leading Algo Trading firm with focus on HFT, MFT and Crypto trading with offices spread across India, Singapore, Hong Kong, Amsterdam and Dubai. They are expanding their trading teams and hiring for Quantitative Traders and Portfolio Managers to join their team at multiple locations.

Key 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 closely 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 technological approaches to improve strategy performance.
• Contribute to risk management and ensure strategies operate within defined risk parameters.

Qualifications:

• Engineering from Tier 1 Engineering college with specification in Computer Science, Mathematics and Computing or Electrical Engineering.
• 2-10 years of live HFT trading experience, proven PnL track record with 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

Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful.