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Quantitative Researcher (MFT ML Pipeline)

Quantitative Researcher (MFT ML Pipeline)

BHFTNew York City, New York, USA
2 days ago
Job type
  • Full-time
Job description
  • Assist in building and maintaining the machine learning and feature engineering pipeline for MFT trading strategies.
  • Conduct data-driven market research to identify patterns features and signals relevant to short- to medium-term alpha generation.
  • Contribute to model training validation and performance analysis across diverse datasets (e.g. equities futures).
  • Implement proof-of-concept trading models and help backtest hypotheses using large-scale historical data.
  • Collaborate closely with senior quants data engineers and infrastructure teams to ensure efficient data flow and model deployment.
  • Continuously evaluate model performance adapt to evolving market conditions and propose refinements.

    • Qualifications :

    • 12 years of experience in a quantitative research or data science role (finance trading or applied ML preferred).
    • Strong understanding of machine learning workflows (data preparation feature generation model validation).
    • Good grasp of statistics time-series analysis and predictive modeling.
    • Working knowledge of Python and common data libraries (Pandas NumPy Scikit-learn PyTorch etc.).
    • Familiarity with financial data structures (tick data OHLCV bars order book / L2 data) is a plus.
    • Strong analytical and problem-solving skills with attention to detail.
    • Ability to work both independently and collaboratively in a distributed team.
    • Clear communicator with a genuine interest in markets and applied research.

      • Nice to have :

    • Masters degree in a quantitative field (Computer Science Mathematics Statistics Physics Engineering or similar).
    • Exposure to quantitative trading or research environments (internships or projects welcome).
    • Experience with feature pipelines MLOps frameworks or data versioning tools.
    • Interest in market microstructure feature selection or model-based execution.
    • Familiarity with C or Rust is a plus.

      • Additional Information :

      What we offer :

    • Experience a modern international technology company without the burden of bureaucracy.
    • Collaborate with industry-leading professionals including former employees of Tower DRW Broadridge Credit Suisse and more.
    • Enjoy excellent opportunities for professional growth and self-realization.
    • Work remotely from anywhere in the world with a flexible schedule.
    • Receive compensation for health insurance sports activities and non-professional training.

      • Please note : visa sponsorship is not available for this role. Applicants must be legally authorized to work in the United States without the need for current or future employer-sponsored work authorization.

      Remote Work : Yes

      Employment Type : Full-time

      Key Skills

      Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills

      Experience : years

      Vacancy : 1

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    Quantitative Researcher • New York City, New York, USA