Python Developer / Lead (Data Project)

Python Developer / Lead (Data Projects) [Contract]

Location: Singapore
Contract Type: 12-Month Contract (Renewable)
Keywords: Python, Data Engineering, API Development, Financial Applications, Asset Management, Cloud

Role Overview:

This is an opportunity within a leading investment technology environment, focused on delivering data-driven applications and integration solutions across trading and portfolio management platforms. The successful candidate will play a key role in modernizing legacy systems, enhancing automation and analytics workflows, and building scalable Python-based solutions to support investment decision-making and operational efficiency.

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:

• 5+ 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 other technologies 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.

If this role aligns with your experience and career goals, please apply to this role