Quantitative Software Engineer

2 months ago


Singapur, Singapore Tower Research Capital Full time
Key Responsibilities
  • Developing innovative software modules for both live trading and analytical research that are designed for scalability.
  • Architecting and enhancing data-centric ETL workflows.
  • Analyzing and fine-tuning critical sections of the codebase to improve performance.
  • Establishing and managing 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 or Engineering.
  • Minimum of 3 years of experience with core Python and its leading 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 dynamic, team-oriented, and geographically dispersed environment.

Preferred Qualifications

  • Familiarity with scripting languages like Bash.
  • Experience with Google Cloud services.
  • Knowledge of workflow management and task scheduling tools.

Employee Benefits

Tower Research Capital is committed to advancing its proprietary trading systems and strategies, solidifying its position as a leader in the competitive realm of quantitative trading. The firm offers a stimulating work environment that values quality of life, complemented by:

  • Competitive compensation and performance-based bonuses.
  • Five weeks of paid vacation annually.
  • Daily provisions of breakfast, lunch, and snacks.
  • Comprehensive international medical coverage.
  • Complimentary gym membership.
  • For employees not eligible for CPF participation, a cash equivalent of the employer's CPF contribution.
  • Access to free events and workshops.
  • A donation matching initiative.


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