Hudson River Trading (HRT) is looking to improve its research environment to generate better trading strategies
Requirements
- Strong C++ expertise (daily use preferred)
- Python familiarity preferred
- Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication
- Experience collaborating closely with quantitative researchers and traders to understand their needs
- Superior design, debugging, and problem solving skills
Responsibilities
- Ensure HRT’s research environment is best in class, with a focus on user workloads
- Maintain and improve resource scheduling, data caching, and job monitoring to make research as easy, fast, and efficient as possible, using both in-house and open source solutions
- Optimize workloads at the user level to speed up user iteration speed
- Tune workloads at the infrastructure level to make them more resource-efficient
- Share metrics and real-time information with users to give insight into workload behavior
- Sit down with users to understand their specific technical needs
- Set technical direction for the platform and take holistic ownership of the software infrastructure that supports Algo research
Other
- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- Great communication capabilities
- Ability to work with quantitative researchers and traders to understand their needs
- Ability to contribute individually and through leadership and coordination
- Eligibility for discretionary performance-based bonuses and a competitive benefits package
