Partnered with a leading hedge fund that utilizes cutting edge technology to research, develop, and execute algorithmic trading strategies. Their team is made up of researchers and engineers from top academic backgrounds as well as other tier one trading firms. The day-to-day is a highly collaborative research environment that allows team members to think outside the box and come up with creative solutions for problems. The ideal candidate will have a strong research background in academia and/or industry and be ready to help make an immediate impact on PnL
Responsibilities:
- Conduct in-depth research on equity/equity derivatives markets
- Analyze large datasets to identify patterns and develop predictive models.
- Collaborate with cross-functional teams to develop, test, and implement quantitative trading strategies.
- Stay up to date on the latest technology
Experience:
- 1-5 years of experience in industry
- PhD in Quantitative Field such as Physics, Statistics, or Computer Science
- Strong programmer with Python and/or C++
- Solid understanding of statistical analysis, machine learning, and data mining techniques.
