Senior Software Engineer (Python)

Responsibilities

• Collaborate and Innovate: Partner with portfolio managers, business managers, and product owners to tackle complex challenges and transform them into purposeful software solutions that drive success.

• Design and Develop: Craft advanced algorithms and applications that significantly improve operational efficiency, enhance decision-making, and propel strategic initiatives forward.

• Leverage Emerging Technologies: Harness the power of machine learning and artificial intelligence to create innovative solutions that give a competitive edge in the industry.

• Champion Excellence: Lead peer code reviews and share your technical expertise to cultivate a culture of continuous improvement and excellence.

• Ensure Quality: Execute rigorous System Integration Tests and work closely with business users on User Acceptance Tests to guarantee top-tier deliverables.

• Document and Guide: Develop comprehensive documentation and user guides to ensure seamless adoption and utilisation of new systems.

Skills/Requirement

• At least 5 years of relevant experience in software development, and hands-on experience in solution designing, software testing, and production support.

• Proficiency in Agile software development methodologies and practices such as Scrum, Kanban, or Test-Driven Development.

• Hands-on technical skills and good competency in Python and related frameworks such as FastAPI, Flask, or Django REST.

• Experience with SQL and data analysis libraries like Pandas, Polars, DuckDB. Optional experience of machine learning frameworks such as TensorFlow or PyTorch.

• Experience with front-end technologies like Angular or React.js and familiarity with RESTful APIs.

• Preferred experience in relevant domains, including but not limited to the financial sector, such as quantitative research and analytics, and trading strategy execution, enabling a deep understanding of industry-specific challenges and solutions.

• Familiarity with cloud platforms like AWS or Azure, and containerisation technologies like Docker and Kubernetes.

• Bachelor's or equivalent degree in Science, Technology, Engineering, and Mathematics (STEM) related discipline is advantageous.

We regret to inform you that only shortlisted candidates will be contacted.

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