SR. AI/ML Researcher

2 weeks ago


new york city, United States Amtex Systems Inc. Full time

Job Title: SR. AI/ML Researcher, Engineer

Location: Midtown, NYC / Warren, NJ / Florida – Boca Raton, Orlando, Miami or Jacksonville / Texas – Dallas / Atlanta, GA / California – Santa Monica or San Francisco / Seattle, WA / Charlotte, NC / Stamford, CT (Hybrid)

Duration: Full-time

Job Summary:


We need A senior AI/ML Engineer that has extensive experience in AI/ML in Capital Markets research. The candidate will have machine learning / AI experience. The financial experience most likely wouldn’t be optimizing portfolios and sharp ratios, but more finding alpha signals in market microstructure, doing high frequency trading, or pricing FX or derivatives. Candidates must have expertise in programming languages such as Python, Java, or C++ as well as Design and implement algorithms to optimize trading strategies, including execution, hedging, and market impact minimization.


Primary duties will include:


  • Apply advanced statistical techniques and quantitative models to analyze and predict market behaviors.
  • Design and implement algorithms to optimize trading strategies, including execution, hedging, and market impact minimization.
  • Utilize large historical datasets to research and backtest new trading strategies and models.
  • Develop models for short-term and medium-term pricing, as well as probability and risk management in trading scenarios.
  • Work closely with trading, technology, and operations teams to integrate quantitative research into the trading infrastructure.
  • Stay current with advancements in quantitative finance, machine learning, and AI, applying this knowledge to enhance trading strategies.
  • This list of duties and responsibilities is not intended to be all-inclusive and can be expanded to include other duties or responsibilities that management deems necessary.


Education / Certification Requirements:


Education: Advanced degree (Master’s or Ph.D.) in Mathematics, Statistics, Financial Engineering, Computer Science, or a related field.



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