Quantitative Trading Specialist
5 days ago
At Oxford Knight, we're a systematic investment manager with deep expertise in quantitative trading, technology, and operations. Our goal is to achieve high-quality, uncorrelated returns for clients by developing model-based investment strategies through rigorous scientific research. Technology plays a critical role in our success, with a focus on designing, building, and operating state-of-the-art systems, from high-performance automated trading platforms to large-scale data science and compute farms.
The team:
We're expanding our team of skilled quantitative developers to work directly with quantitative researchers, designing, implementing, deploying, and utilizing software for research and trading. Our team adheres to modern software development principles and collaborates with peers in technology to enhance these tools for broader use. Quantitative developers lead cross-team initiatives with technologists and quantitative researchers across various asset classes to achieve our objectives.
Candidate requirements:
The ideal candidate must possess a strong work ethic, enthusiasm for working on the cutting edge of technology, and the drive to navigate through complex initiatives. Attention to detail and defensive programming experience are essential.
Qualifications:
- Degree in applied math, physics, engineering, quantitative finance, or computer science
- Graduate degree required
- 2 or more years of experience with Python, C++, and standard libraries
- Kdb+/q or database experience is advantageous
- Working knowledge of finance, data storage, processing, and analysis
- Advanced quantitative skills are beneficial
- Experience with modern software development: Version control, agile development
- Experience with requirements analysis and designing software solutions is advantageous
- Excellent technical communication skills
- Ability to rapidly learn and apply new technologies
- Ability to balance tactical work while pursuing long-term strategic projects
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