Job Responsibilities:
- Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
- Collaborate with Cross-Functional Teams: Work closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
- Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
- Continuous Improvement: Monitor, fine-tune, and optimize models for peak performance and efficiency.
- Stay Up-to-Date: Maintain awareness of the latest trends, techniques, and advancements in machine learning and predictive modeling.
Qualifications:
- Education: Bachelor's, Master's, or Ph.D. in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of experience in machine learning.
- Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
- Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
- Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
- Communication: Strong verbal and written communication skills to work effectively within our collaborative team.
Preferred Qualifications:
- Experience with time-series analysis and forecasting.
- Familiarity with cloud computing platforms like AWS, Azure, etc.
- Knowledge of the financial industry and experience working with big data.
