Boerboel is looking to develop sophisticated investment models and shape their understanding of market behavior by hiring a Quantitative Researcher.
Requirements
- Strong foundation in probability, statistics, linear algebra, and data analysis
- Intermediate programming skills (Python or C++)
- Experience conducting research or independent projects involving data analysis, modeling, or algorithm development
- Hands-on experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
- Exposure to time-series analysis, signal processing, or stochastic modeling
- Familiarity with data visualization tools (Matplotlib, Plotly, ggplot, etc.)
- Coursework or research in econometrics, game theory, or optimization
Responsibilities
- Use statistical modeling, optimization, and machine learning techniques to analyze large and diverse datasets
- Create and test complex investment and trading models across multiple asset classes
- Work with engineers to implement and backtest models in live trading environments
- Design experiments and analyze real-world results to refine hypotheses and improve performance
- Stay current with new research in statistics, machine learning, and quantitative finance
- Contribute to discussions that help shape the direction of our firm's quantitative research strategy
Other
- Demonstrated ability and experience through internship or academic projects (0-2 years)
- Strong analytical and critical thinking skills with a creative approach to problem-solving
- Excellent written and verbal communication skills — able to present complex ideas clearly and succinctly
- Curiosity about financial markets (no prior finance experience required)
- Academic or open-source research publications
