Typical Set, LLC is looking to solve the problem of developing and maintaining systems that translate advanced machine learning models into actionable trading behaviors to improve the performance and reliability of their trading platforms.
Requirements
- Strong programming skills in languages such as Python, C++, or Java.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Understanding of financial markets, trading systems, and algorithmic trading concepts.
Responsibilities
- Design, develop, and optimize software systems that implement machine learning models for trading strategies.
- Translate research prototypes into production-ready code, ensuring robustness and scalability.
- Collaborate with data scientists and quantitative analysts to integrate machine learning insights into trading systems.
- Maintain and improve existing trading infrastructure, troubleshooting issues as they arise.
- Participate in code reviews, testing, and documentation to uphold high-quality development standards.
- Stay current with emerging technologies and methodologies in machine learning and electronic trading.
- Contribute to the continuous improvement of our development processes and tools.
Other
- Bachelor’s degree or equivalent in Computer Science, Software Engineering, or a related field.
- Proven experience in software development, preferably within finance or trading environments.
- Excellent problem-solving skills and the ability to work collaboratively in a team setting.
- Strong communication skills with the ability to articulate complex technical concepts clearly.
- Comprehensive health insurance, retirement plans, paid time off, and professional development opportunities.
