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TrexquantTrexquantStamford, CT

Quantitative Researcher - Experienced Hires (USA)

Develops market-neutral trading signals and machine learning models to predict financial asset movements using large datasets. Requires 2+ years in systematic trading, STEM degree, and strong Python skills.

130k – 200k
On-site2+ YOEData Science

About the role

Responsibilities

  • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals.
  • Parse and analyze large datasets to identify actionable alpha signals and develop strategies for systematic trading.
  • Investigate and implement state-of-the-art academic research in the field of quantitative finance.
  • Continuously innovate and improve existing models by integrating new data sources and advanced techniques to boost performance and scalability.
  • Collaborate closely with a team of experienced quantitative researchers to conduct experiments, backtest hypotheses, and refine strategies through rigorous simulations and data analysis.

Requirements

  • BS/MS/PhD degree in any STEM field
  • 2+ years in a systematic trading environment
  • Passion for machine learning
  • Fluent with programming languages like Python
  • Strong problem-solving skills
  • Ability to work effectively both as an individual and a team player

Benefits

  • Competitive salary plus bonus based on individual and company performance
  • Collaborative, casual, and friendly work environment
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents
  • Pre-tax commuter benefits
  • Weekly company meals

Skills

PythonMachine LearningQuantitative FinanceData AnalysisBacktestingFinancial DataStatistical Algorithms

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