Lead High-Frequency Quant Researcher

Flow Traders

New York (NY)

On-site

USD 200,000 - 225,000

Full time

11 days ago

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Benefits offered by this job

Competitive compensation
Annual discretionary bonus
Global rotations opportunities
Wellness and healthy culture

Job summary

Flow Traders is seeking an experienced Quantitative Researcher specializing in high-frequency research to join our New York office. You will lead strategic expansion by leveraging Flow Traders’ cutting-edge research and quantitative trading platform.

Responsibilities include identifying competitive advantages, building quantitative strategies, and leading researchers to develop pricing and execution models for profitable end-to-end high-frequency trading.

Qualifications

  • 5+ years of experience in systematic trading.
  • Proven track record of profitable high-frequency trading strategies in US cash equities and/or futures.
  • Nuanced understanding of financial markets and their microstructure.
  • Success translating modern quantitative methods into profitable trading strategies.
  • Experience with large-scale machine learning operations frameworks and high-performance compute.
  • Excellent communication and stakeholder management across trading and technology.
  • Strategic vision for ML/AI in the future of algorithmic trading.

Responsibilities

  • Identify 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 deployment in profitable end-to-end high-frequency quantitative trading strategies.

Skills

Systematic trading
High-frequency trading
Market microstructure
Quantitative methods
ML operations
Communication
AI in algorithmic trading

Job description

Flow Traders is seeking an experienced Quantitative Researcher specializing in high-frequency research to join our New York office. You will lead strategic expansion by leveraging Flow Traders’ cutting-edge research and quantitative trading platform.

Responsibilities include identifying competitive advantages, building quantitative strategies, and leading researchers to develop pricing and execution models for profitable end-to-end high-frequency trading.

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