Quantitative Software Engineer
2 months ago
- Developing innovative software solutions for both real-time trading and analytical research that can scale efficiently.
- Architecting and enhancing data-centric ETL workflows.
- Analyzing and refining critical sections of the codebase to improve performance.
- Establishing and overseeing continuous integration workflows.
- Improving the reliability and visibility of the live trading system through effective monitoring and alerting mechanisms.
Required Qualifications
- A Bachelor's degree in Computer Science, Engineering, or a related field.
- Minimum of 3 years of experience with core Python and its widely used big data/scientific libraries (such as NumPy, Pandas, etc.).
- Proficient in at least one strongly typed programming language (preferably C++).
- Strong communication and collaboration skills, with the ability to thrive in a fast-paced, team-oriented, and geographically dispersed environment.
Preferred Qualifications
- Familiarity with scripting languages like Bash.
- Experience with Google Cloud Platform.
- Knowledge of workflow management and task scheduling tools.
Employee Benefits
Tower Research Capital is committed to advancing its proprietary trading systems and strategies, establishing itself as a frontrunner in the dynamic realm of quantitative trading. The firm offers a stimulating work environment that prioritizes employee well-being, featuring:
- Competitive compensation and performance-based bonuses.
- Generous paid time off, including 5 weeks of vacation annually.
- Daily provisions for breakfast, lunch, and snacks.
- Comprehensive international health insurance.
- Complimentary gym membership.
- Cash equivalent for employer's CPF contribution for ineligible employees.
- Access to free events and workshops.
- Donation matching initiatives.
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