Lead Quantitative Researcher, High-Frequency Trading

Tradermath; New York (NY); Hybrid; USD 200,000 - 225,000; Full time

Job summary

Flow Traders in New York seeks an experienced Quantitative Researcher specializing in high-frequency research to join our NYC office and expand opportunities using cutting-edge research and our quantitative trading platform.

You will lead researchers to develop pricing and execution models and deploy them in profitable end-to-end high-frequency strategies, leveraging ML and AI to advance algorithmic trading.

Qualifications

• 5+ years of experience in systematic trading.
• Proven track record of profitable high-frequency trading strategies in the US cash equities and/or futures markets.
• A nuanced understanding of financial markets and their microstructure.
• Demonstrated success translating modern quantitative methods into profitable trading strategies.
• Experience with large-scale machine learning operations frameworks and high-performance compute.
• Excellent communication skills and experience managing stakeholders across trading and technology.
• A strategic vision for the role of machine learning and AI in the future of algorithmic trading.

Responsibilities

• Identify our competitive advantages and build quantitative strategies to convert them into actionable opportunities
• Lead a team of researchers to develop pricing and execution models and oversee their deployment in profitable end-to-end high-frequency quantitative trading strategies

Skills

Quantitative research

High-frequency trading

Machine learning

Stakeholder management

Job description

Flow Traders in New York seeks an experienced Quantitative Researcher specializing in high-frequency research to join our NYC office and expand opportunities using cutting-edge research and our quantitative trading platform.

You will lead researchers to develop pricing and execution models and deploy them in profitable end-to-end high-frequency strategies, leveraging ML and AI to advance algorithmic trading.