Job Description

7d ago , from E-Financial Careers Australia

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Build scalable Python-based trading infrastructure and distributed systems, partnering with quantitative researchers and technologists to improve research capabilities, production performance, and productivity across expanding markets.

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nWhat You'll Do: n
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- Build and enhance core platforms supporting trading operations.
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- Improve the scalability, reliability, and performance of production systems.
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- Work with technologists to evolve distributed systems and engineering capabilities.
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- Process and analyze large datasets to support trading and research initiatives.
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- Develop solutions that increase productivity across the wider trading organization.
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nYour responsibilities will include: n
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- Designing and developing Python software for large-scale distributed systems.
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- Contributing to critical research and production infrastructure.
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- Identifying technical bottlenecks and developing scalable solutions.
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- Collaborating closely with quantitative researchers and fellow engineers.
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- Taking ownership of projects from conception through implementation.
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- Applying strong analytical and problem-solving skills to complex engineering challenges.
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- Supporting systems running in Linux environments.
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- Helping establish infrastructure capable of supporting expansion into current markets.
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nWhy Join Us: n
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- Work directly on technology that powers sophisticated trading operations.
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- Partner closely with quantitative researchers and experienced technologists.
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- Build infrastructure where improvements can multiply the productivity of an entire team.
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- Solve challenging problems involving distributed systems, scalability, and large datasets.
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- Have meaningful ownership and influence as the technology platform expands into new markets.
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nAbout You: n
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- 5+ years of professional software engineering experience with Python.
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- Strong experience building and supporting large distributed systems.
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- Comfortable working extensively within Linux environments.
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- Proven experience handling and working with large datasets.
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- Excellent analytical and problem-solving capabilities.
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- Naturally curious and motivated to understand complex technical challenges.
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- Self-directed, accountable, and comfortable taking ownership of projects.
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- Able to collaborate effectively with quantitative researchers and technical teams.
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- Bachelor's degree in Computer Science, Computer Engineering, or an equivalent qualification.
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- Reliable, consistent, and dependable in your professional commitments.
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#SoftwareEngineering #TradingTechnology #Python #DistributedSystems #Linux #QuantitativeResearch #TradingSystems #Scalability #DataEngineering #LargeDataSets #SoftwareDevelopment #FinTech #QuantTech #SystemsEngineering #TradingInfrastructure

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📌 Trading Systems Software Engineer (Sydney)
🏢 Westbury Partners
📍 Sydney