Job Description

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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