Job Title: Machine Learning Engineer - High-Frequency Trading
- Develop and implement machine learning algorithms for high-frequency trading strategies.
- Analyze large datasets to extract insights and identify patterns for algorithmic trading.
- Continuously optimize machine learning models for improved performance in real-time trading.
- Collaborate with cross-functional teams to integrate models into the trading infrastructure.
- Stay updated on the latest advancements in machine learning and quantitative finance.
- Implement risk management protocols for algorithm stability in dynamic market conditions.
- Conduct code reviews and maintain comprehensive documentation for team understanding.
- Degree in Computer Science or Mathematics
- 5+ years of experience in developing machine learning models, preferably in high-frequency trading.
- Strong programming skills in Python, C++, or Java.
- Solid understanding of financial markets and quantitative finance concepts.
- Familiarity with TensorFlow, PyTorch, or scikit-learn.
- Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
- Effective communication skills to convey technical concepts to non-technical stakeholders.
- Competitive salary, performance bonuses, and comprehensive benefits package.
- Ongoing training and professional development opportunities.