Quantitative Researcher (ML)
Tasks
- Build dashboards to validate ML value
- Build machine learning models for liquidity trading
- Collaborate with senior leaders to shape ML strategy
- Develop trading indicators and strategies
- Manage time series data storage and workflows
- Partner with research and algorithmic trading technology teams
- Process and cleanse production data
- Use proprietary trading data to drive trading performance
Perks/Benefits
- Cycle to work scheme
- Dental coverage
- Enhanced family leave
- Free gym membership
- Health insurance
- Learning and development budget
- Paid time off
- Pension scheme
- Social events
Skills/Tech-stack
Algorithm Development | Dashboards | Data Aggregation | Data Cleansing | Data Mining | Data Preprocessing | Data Processing | Data Visualization | Hugging Face | Machine Learning | PyTorch | Python | Real Time | Real-time Data | Scikit-learn | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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