What You'll Do:

- Develop and maintain high-performance Python applications for trading, research, and risk management.

- Collaborate with traders, researchers, and quants to design scalable and efficient software solutions.

- Build automation tools that enhance trading workflows and optimize research capabilities.

- Deploy, test, and iterate rapidly to drive continuous improvements.

- Balance trade-offs between latency, throughput, scalability, and maintainability.

Your Responsibilities Will Include:

- Writing clean, efficient, and scalable Python code.

- Enhancing quantitative research infrastructure, including back-testing frameworks and distributed computing tools.

- Building tools for trade analysis, visualization, and automation.

- Implementing CI/CD pipelines, automated testing, and cloud-based data processing solutions.

- Working with numerical computing frameworks like Pandas, NumPy, and Dask.

- Managing containerized environments using Docker and Kubernetes.

- Collaborating closely with cross-functional teams, ensuring smooth communication between engineers and traders.

About You:

- 5+ years of professional experience in Python software development.

- Strong background in numerical computing and data processing.

- Experience with cloud-based infrastructure, Kubernetes, and containerized environments.

- Familiarity with distributed computing frameworks such as Dask or Spark.

- Passion for problem-solving and technical innovation.

- Strong communication skills and ability to work in a collaborative environment.

- Financial industry experience is not required, but curiosity and a drive to learn are essential.

Innovate. Optimize. Lead.

If you’re passionate about Python development and want to work in a high-impact, fast-paced environment, join us to shape the future of trading and research technology!

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