Senior Python Engineer – Trading & Research Systems
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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