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Python Developer

Salary undisclosed

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We are looking for a talented Python Developer with a .NET background to join our asset management technology team. This is an initial 12-month contract with the possibility of extension, as it is part of a long-term project.

The ideal candidate will have strong expertise in Python development for financial applications, experience working with data-driven solutions, and a good understanding of asset management principles. A .NET background is preferred to support legacy systems and facilitate integration between platforms.

Key Responsibilities:

  • Design, develop, and maintain Python-based applications for asset management.
  • Work on data processing, automation, and analytics for investment and trading teams.
  • Develop and maintain APIs for data integration and system interoperability.
  • Collaborate with quants, portfolio managers, and analysts to develop technology-driven solutions.
  • Support and enhance existing applications built with .NET (C# or VB.NET) as needed.
  • Optimize code performance and ensure scalability for large datasets.
  • Implement cloud-based solutions (AWS, Azure, or GCP) for enhanced performance.
  • Ensure compliance with financial industry security and regulatory standards.

Key Requirements:

  • 3+ years of experience as a Python Developer, preferably in the financial or asset management industry.
  • Strong knowledge of Python frameworks such as Django, Flask, or FastAPI.
  • Good understanding of data structures, algorithms, and object-oriented programming (OOP).
  • Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB).
  • Background in .NET development (C#, ASP.NET, or VB.NET) is a plus.
  • Familiarity with financial instruments, risk modeling, and asset management concepts.
  • Knowledge of DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Understanding of financial data providers (Bloomberg, Reuters, FactSet).
  • Knowledge of big data technologies (Spark, Hadoop) is an advantage.

Argyll Scott Consulting Pte Ltd