Crypto Quant Researcher: Systematic Trading & ML Signals

Joseph Anthony Group; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Joseph Anthony Group in New York seeks a technically strong Quantitative Researcher to join its NY-based trading team. You will research digital asset markets, develop systematic trading strategies, and leverage real-time data to identify alpha opportunities.

The role requires advanced statistics, ML techniques, and proficiency in C++/Python, with experience in high-frequency or electronic trading. You will build research infrastructure, backtest frameworks, and collaborate with engineering to

Qualifications

• Master's or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related quantitative field.
• 3+ years of experience in quantitative research, systematic trading, quantitative development, or a related discipline, ideally within a high-frequency or electronic trading environment.

Responsibilities

• Analyze market microstructure, trading data, and blockchain datasets to identify alpha opportunities.
• Develop and refine quantitative signals using statistical and machine learning techniques.
• Design, test, and deploy systematic trading strategies, including market-making and arbitrage models.
• Build and maintain research infrastructure, data pipelines, and backtesting frameworks.
• Conduct performance analysis, attribution, and post-trade execution reviews.
• Develop risk monitoring tools and controls across trading strategies and venues.
• Collaborate with engineering and trading teams to optimize production systems, execution quality, and scalability.

Skills

Probability & statistics

Time-series analysis

C++/Python

Education

Master's or PhD in quantitative field

Job description

Joseph Anthony Group in New York seeks a technically strong Quantitative Researcher to join its NY-based trading team. You will research digital asset markets, develop systematic trading strategies, and leverage real-time data to identify alpha opportunities.

The role requires advanced statistics, ML techniques, and proficiency in C++/Python, with experience in high-frequency or electronic trading. You will build research infrastructure, backtest frameworks, and collaborate with engineering to