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TrexquantTrexquantNew York, NY

Quantitative Researcher

Quantitative Researcher developing cutting-edge ML and statistical models to identify predictive signals in global financial markets. Requires PhD in a STEM field, strong Python skills, and interest in ML/AI; no finance experience needed. Matched to Alpha Research, Data Science, or Strategy Research teams.

150k – 200k
On-siteEntry levelML Engineering

About the role

Responsibilities

  • Designing and implementing state-of-the-art machine learning models for large-scale prediction problems
  • Working with massive structured and alternative datasets to uncover meaningful signals
  • Developing novel statistical methods and predictive features
  • Reading, evaluating, and extending cutting-edge academic research
  • Designing experiments, testing hypotheses, and validating ideas through simulation
  • Collaborating with experienced researchers across disciplines to transform research into production-ready strategies

Your research has a direct impact - from idea generation to live trading.

Researchers are matched to one of the following teams based on strengths and interests:

  • Alpha Research: Discover predictive signals by developing new features, exploring diverse datasets, and building machine learning models that forecast market behavior.
  • Data Science: Identify, acquire, engineer, and analyze large and unconventional datasets while partnering closely with researchers to unlock new predictive insights.
  • Strategy Research: Develop systematic trading strategies using modern statistical and machine learning techniques, validating ideas against real market data through rigorous experimentation.

Requirements

  • PhD in Computer Science, Physics, Mathematics, Statistics, Engineering, Economics, or another STEM discipline
  • Strong interest in machine learning, statistics, or artificial intelligence
  • Excellent programming skills in Python
  • Outstanding analytical and problem-solving abilities
  • Ability to work independently while collaborating effectively with multidisciplinary teams
  • Curiosity, creativity, and a passion for solving difficult problems

No prior finance experience is required.

Nice-to-Haves

  • Background in computer science, physics, mathematics, engineering, economics, statistics, or another STEM discipline

Compensation and Benefits

  • Base salary: $150,000 to $200,000 (determined based on educational background and professional experience)
  • Competitive salary plus discretionary, performance-based bonus
  • PPO Health, dental and vision insurance premiums fully covered for you and your dependents
  • Pre-tax commuter benefits
  • Weekly company meals
  • Collaborative, casual, and friendly work environment

Skills

Machine LearningPythonStatisticsArtificial IntelligenceData AnalysisPredictive ModelingHypothesis TestingSimulationFeature EngineeringLarge-Scale Datasets

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