Python Software Engineer
Job Description
The Research Tooling Developers collaborates closely with APAC Quant Research and other engineering teams to build and enhance tools that drive cutting-edge quantitative research. Our systems empower researchers to run large-scale computations on distributed clusters, enabling the exploration of new trading strategies, model training, and back testing.
Your Core Responsibilities:
- Develop, test, deploy, and maintain high-performance Python applications.
- Work closely with traders, researchers, quants, and fellow engineers to build scalable and reliable software solutions.
- Take ownership of end-to-end development, from requirements gathering to production deployment.
- Implement automation and optimization projects to enhance trading and research workflows.
- Apply advanced automated testing practices and leverage daily deployments to achieve agile and incremental benefits.
- Balance trade-offs between latency, throughput, simplicity, scalability, and maintainability in a complex technology landscape.
Your Skills and Experience:
- 5+ years of professional software engineering experience, with a strong focus on Python.
- Experience working with numerical computing and data processing frameworks such as Pandas, NumPy, SciPy, Celery, Dask, or Spark.
- Strong problem-solving skills and the ability to proactively tackle technical challenges.
- Experience with automated testing and CI/CD pipelines.
- Familiarity with Docker, Kubernetes, and Linux environments.
- Exposure to distributed computing and modern cloud-based data processing technologies.
- Strong communication skills and the ability to work with cross-functional teams including traders, researchers, and other engineers.
- Prior knowledge of financial markets or trading is not required, but curiosity and a willingness to learn are essential.
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