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3 days ago
This is an opportunity for someone who enjoys solving complex data and engineering problems in a dynamic, production-driven environment. You'll collaborate closely with technologists and researchers to ensure the seamless flow of high-quality data throughout the business.
">Your primary role will be developing scalable processes to collect, process, and maintain large-scale financial datasets.
">- Developing efficient pipelines and tools to support systematic strategies and quantitative modelling">
- Improving reliability, transparency, and speed of data used in production trading environments">
- Working primarily in Python, with opportunities to contribute to systems written in Java, Go, or C++">
- Driving improvements in software reliability, test coverage, and deployment workflows">
- Evaluating and integrating new technologies for high-throughput data handling
You must have experience writing production-level Python, especially in data-intensive applications, along with a degree in Computer Science, Engineering, Physics, Mathematics or similar technical discipline.
">Familiarity with software development best practices, such as CI/CD, automated testing, and version control, is required. Strong analytical skills and the ability to reason through complex problems independently are also necessary.
">Preferred Qualifications:">- Experience in quantitative trading, financial data engineering, or hedge fund infrastructure">
- Understanding of modern data orchestration tools and data quality controls">
- Familiarity with distributed systems, real-time data, or cloud-native environments
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