Remote HFT Quant Trader: Market-Making & Arbitrage

ALPHAMATRIX CAPITAL PTE. LTD.

Singapore

On-site

SGD 180,000 - 300,000

Full time

14 days+
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Job summary

Quanta Trading is a dynamic quantitative trading firm operating across cryptocurrency and traditional financial markets, emphasizing low-latency technology, rigorous research, and risk management.

We offer a flexible work environment with remote work options, inviting experienced traders and researchers to join a globally distributed team. The role centers on developing and deploying systematic trading strategies with strong performance analytics.

Qualifications

  • Bachelor's degree or higher in Mathematics, Statistics, Computer Science, Engineering, or related field.
  • 5+ years of professional quantitative trading or research experience in systematic trading.
  • Proven track record developing profitable systematic trading strategies in live markets.
  • Strong experience in high-frequency market making, arbitrage, or related HFT strategies.
  • Proficiency in Python for quantitative research and data analysis.
  • Familiarity with C++ and low-latency trading systems is highly desirable.

Responsibilities

  • Research, develop, backtest, deploy, and improve systematic quantitative trading strategies across crypto and traditional markets.
  • Develop strategies across high- and mid-frequency horizons with emphasis on market making and arbitrage.
  • Translate research into production trading systems in collaboration with engineers.
  • Optimize execution, risk controls, and position sizing for performance and robustness.
  • Monitor live strategies, analyze performance, and iterate for profitability and capacity.

Skills

Python for research
C++
Statistical analysis
Market microstructure
Independent work

Education

Bachelor's degree in quantitative field

Tools

Backtesting frameworks
WebSocket APIs

Job description

Quanta Trading is a dynamic quantitative trading firm operating across cryptocurrency and traditional financial markets, emphasizing low-latency technology, rigorous research, and risk management.

We offer a flexible work environment with remote work options, inviting experienced traders and researchers to join a globally distributed team. The role centers on developing and deploying systematic trading strategies with strong performance analytics.

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