发帖
雷达卡
Responsibilities/Expectations:
• Implementing software for low latency trading.
• Designing in-memory database-based, event-driven and message-oriented middleware and internal APIs to CTP or FEMAS platforms.
• Integrating external protocols and APIs with our infrastructure.
• Identifying and managing performance bottlenecks.
• Developing tools (e.g. numerical libraries, GUIs) to improve research productivity.
Qualifications/Requirements:
• Ph.D. or M.S. background in computer science, physics,mathematics, or a related engineering discipline.
• Proficiency with c/c++ in a unix/linux environment, 5+years of hands-on programming experience.
• Experience with low-level optimization (e.g. memory hierarchy, instruction set architectures, lock-free algorithms, bus overheads, profiling) and multi-core parallelism.
• Knowledge of operating system internals (e.g. network stack, timers, scheduling, interrupt handling, virtual memory, file systems)and kernel source.
• Elegant coding style and good taste in API design.
Quantitative Strategy Researchers（2-3人）
Responsibilities/Expectations:
• Primary responsibility is to identify and develop excess return generating quantitative investment strategies using deep learning and machine learning.
• Produce high quality research independently, as well as with other researchers, traders and software engineers.
• Design and develop analysis and monitoring tools to achieve best practices in all aspects of the investment process (research,portfolio management, trading, and attribution).
• Automate human-decision based trading strategies, prototype algorithmic trades from trading ideas and put investment strategies into production, with a focus on high-quality execution and transparency.
Qualifications/Requirements:
• Ph.D. in a technical field such as, engineering, physics, mathematics, economics, finance, computer science or other quantitative discipline.
• Demonstrated ability to conduct high-quality empirical research, relevant experience working with large datasets, quantitative model development and statistical hypothesis testing.
• Excellent quantitative skills, as evidenced by formal training in econometrics or statistics, and extensive experience in utilizing those skills in a research environment.
• Passion for identifying and leveraging large datasets to develop new insights about financial markets.
• Strong understanding of computer technology in financial research, with proficiency in programming (Python/R/Matlab), statistical analysis, and numerical techniques.
• Creativity and out-of-the-box thinking.
• Excellent teamwork - work cooperatively and effectively in a small team with other researchers and portfolio managers in a fast-paced environment.
• Driven, highly motivated and results focused.
ASSISTANT TRADER - FULL TIME CAMPUS RECRUITING（1-2人）
PurpurCapital is actively seeking to recruit full-time candidates from top college and university graduates with elite math and programming skills for our trading programs. We are looking for highly competitive students who believe top performers should move quickly up an organization and be compensated generously for such performance. Students will be trained in small groups with veteran traders and participate in classroom work and dynamic trading simulations.
TRADER（2-3人）
PurpurCapital is looking to add to their small group of experienced and accomplished traders. We are looking for a trader who can bring skills and expertise to the group to help facilitate new ideas and trading strategies. The ideal candidate is an innovative and experienced trader with a proven track record.
OFFICE MANAGER（1-2人）
PurpurCapital is seeking a full-time Office Manager to help facilitate and organize the daily activities of the Shanghai office. We are looking for a driven young professional, who is thorough in their work and has top-notch organizational skills. The ideal candidate will be trustworthy, motivated, and willing to do whatever it takes to maintain our fun and energetic office atmosphere.
Address
802 Room, Waitan SOHO
Zhongshan Dong Er Lu, Near XinkaiheLu, Huangpu District
Shanghai, China
京公网安备 11010802022788号
