About this role
You will take on the following responsibilities:
- Design and engineer portfolio construction and risk management strategies using data science, statistics, macroeconomics, and software engineering
- Develop investment models and shape our view of market behavior using rigorous scientific methods
- Partner with senior leaders to develop, prioritize, and deliver portfolio management initiatives
- Manage portfolio risk through unexpected volatility
- Build analytics to monitor portfolios for emerging risks
- Create and test complex investment ideas, partnering with engineers to validate your theories
You should possess the following qualifications:
- A degree in a technical or quantitative field — statistics, mathematics, physics, electrical engineering, computer science, or similar (bachelor's through doctorate welcome)
- Proficiency in at least one programming language (C, C++, Java, or Python)
- Experience running an in-depth research project using real-world data
- Independent, creative thinking with strong data analysis skills and the ability to communicate complex ideas clearly
- 2 to 5 years of work experience in a quantitative discipline is a plus