Role:
This role will be working directly with the Portfolio Manager to build the research platform and implementation of strategy in the trading system. The candidate should have a passion to work in a start-up environment, take ownership of projects and contribute to design. The candidate will be working on greenfield projects, which are critical to the success of the team.
Responsibilities:
- Collaborate with the research team to build the trading system and research infrastructure
- Work with research team to implement and convert research output into trading strategy
- Aid in the design and take ownership of automated reconciliation process between production and research
- Develop data pipelines, research, and post-trading analytics tools
Requirements:
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or Information Systems
- 5+ years of professional software engineering experience
- Experience with time series financial data. Ideally event level data in derivatives products
- Fluency in Python 3 and familiarity with pandas
- Familiarity with version control and software delivery lifecycle
- Proficiency with the Linux environment
- Real project experience in deploying Time Series or Machine Learning systems (e.g. Tensorflow, MLFlow) is a plus
- Post-graduate level study in Data Science/Statistics or experience with time series or statistics a plus
- Commitment to the highest ethical standards
Top Skills
What We Do
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.
