Crypto HFT Quant: Alpha Generation & Arbitrage

Rock Bund Capital; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading proprietary trading firm in Singapore is seeking a Quantitative Researcher to enhance their systematic trading strategies. Responsibilities include researching and developing trading strategies, utilizing machine learning for data analysis, and collaborating closely with the trading team to implement efficient algorithmic trading strategies. Ideal candidates will possess a Master's degree and relevant trading or research experience. Competitive remuneration and a fast-paced work environment await successful applicants.

Benefits

Competitive remuneration package

Casual working environment

Exposure to digital asset ecosystem

Qualifications

• 2-3 years of trading or research experience in high frequency quantitative strategies.
• Familiarity with market microstructure and backtesting systems.
• Experience in analyzing large financial datasets.
• Knowledge of system architecture and deployment.

Responsibilities

• Trade and research systematic trading strategies on multi-market futures and options.
• Develop trading strategies contributing to portfolio construction.
• Use machine learning tools for data modeling and strategy optimization.
• Implement algorithmic trading strategies with the trading team.
• Monitor operation and risk of trading strategies.

Skills

Trading system development

Mathematical modeling

Statistical analysis

Machine learning tools

Programming in Python, C++, or C

Research experience in quantitative strategies

Fluency in English and Mandarin

Education

Master's degree in Science, Engineering or Quantitative Finance

Job description

A leading proprietary trading firm in Singapore is seeking a Quantitative Researcher to enhance their systematic trading strategies. Responsibilities include researching and developing trading strategies, utilizing machine learning for data analysis, and collaborating closely with the trading team to implement efficient algorithmic trading strategies. Ideal candidates will possess a Master's degree and relevant trading or research experience. Competitive remuneration and a fast-paced work environment await successful applicants.