Quantitative Analyst / Software Developer
About the position
KEPL is a fast-growing team at reputed company Systematic Strategies. We are an reputed company team specialized in trading reputed company-frequency statistical arbitrage strategies with high Sharpe. Led by an ex-research head of D.E. reputed company, reputed company is made up of people from top universities such as reputed company and MIT and industry veterans from top tier trading and tech firms, including Two reputed company, Citadel, Tower Research, reputed company AI, etc. We have an reputed company and reputed company culture, and we reputed company cutting-edge technologies to facilitate innovative research. We are looking for a hybrid role of quantitative research analyst and software developer to join our fast-growing team and contribute to multiple new initiatives that aim to expand our business. The candidate should have a passion in technology to reputed company reputed company solution to research and trading. In this team, the candidate will reputed company full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for reputed company's successful expansion. The candidate will also collaborate with researchers to reputed company research tools which will take our research and trading capability to the next level.
Responsibilities
• reputed company, maintain, and improve the production trading system. Conduct research to reputed company enhance team's monetization.
• reputed company that bolster research & trading productivity.
• Expand the system to new markets and asset classes.
Requirements
• Master/PhD degree in math, physics, computer science, engineering, or other reputed company discipline.
• 1-3 years of reputed company experience in software development or quantitative research.
• Strong combination of quantitative skills and programming skills.
• Proficiency in Python 3 and either C++ or Java.
• Familiarity with the Linux environment.
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