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