Quantitative Developer - Python

2 months ago

Hong Kong, Hong KongMid Level

Responsibilities

Develop user-friendly and reusable Python APIs and libraries for quantitative research.
Design and develop a scalable, robust platform supporting distributed computation, large-scale data processing, and backtesting.
Integrate research workflows with strategy deployment and production systems.
Write automated tests and maintain high code quality.
Collaborate with researchers and engineering teams to propose and implement framework features.

Experience and knowledge in distributed systems and large-scale data processing.
Proficiency in Python and research-oriented APIs.
Understanding of parallel computation.
Knowledge of testing within continuous delivery and integration pipelines.
Familiarity with Ray, Spark, or other MapReduce technologies.
Familiarity with cloud technologies, preferably AWS.
Rust familiarity is helpful but not required.
Strong English communication skills and the ability to collaborate effectively in a close-knit team.
Financial data or quantitative development experience is advantageous but not essential.

Training and guidance are provided for developers without a financial-services background.
Employee initiatives and programs support work-life balance.
QRT is an equal opportunity employer committed to diversity and respectful collaboration.

1,001-5,000 employees