Quantitative Researcher (MFT ML Pipeline) at BHFT

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 : YesEmployment 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