The ideal candidate has experience with large-scale data processing and a solid grasp of data science workflows. This position allows for a substantial impact on the team's research direction within a successful proprietary trading firm.
Responsibilities:
- Identify high-quality data and request acquisition through data team tickets.
- Develop tools for data visualization and exploration.
- Apply statistical and ML techniques to detect patterns and trends.
- Stay updated on data science and crypto industry advancements.
- Benchmark model performance against leading techniques.
- Build metrics and dashboards to track trading strategy performance.
Requirements:
- At least 5 years in data science, with 2 in leadership
- Master's in EE, CS, Physics, Mathematics, or related field
- Proficiency in Python, large-scale data processing, and ML frameworks like TensorFlow, PyTorch, and scikit-learn
- Experience in time-series analysis, modeling, and forecasting
- Strong understanding of model architecture and code quality
- Knowledge in crypto or finance is beneficial but optional
