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
