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High-Performance Computing Quantitative Specialist
1 week ago
**Overview of the Team**
Oxford Knight's high-frequency systematic equities team is seeking a highly skilled High-Performance Computing Quantitative Specialist. As a key member of this dynamic group, you will design and implement cutting-edge trading platforms for global equity strategies using high-performance computing techniques.
The ideal candidate will possess exceptional analytical skills, a strong background in algorithmic trading systems, and excellent problem-solving abilities.
Key Responsibilities:
- Designing and implementing high-performance trading systems using parallel computing techniques
- Developing advanced data analytics capabilities using machine learning and data science techniques
- Collaborating with cross-functional teams to drive project success
- Mentoring junior specialists and promoting best practices in high-performance computing
Requirements:
- 3-5+ years' experience in developing algorithmic trading systems
- Advanced programming skills in KDB/Q and Python
- Excellent knowledge of modern data science tools stacks, including Jupyter, pandas, numpy, sklearn, and machine learning experience
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from a top-tier university