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MAS is working on multiple fronts to ensure our financial institutions and workforce are positioned well to adopt Artificial Intelligence (AI). We are seeking an experienced Full Stack Developer to build robust, scalable web applications that advance AI adoption in Singapore's financial sector.
Working within our Financial Infrastructure and Artificial Intelligence Office, you will be developing cutting-edge technology solutions that position Singapore as a global leader in financial innovation.
What You Will Be Working On
- Design and develop full-stack web applications using modern frontend (Angular/React) and backend technologies to support AI initiatives in financial services
- Build responsive user interfaces and robust backend services with secure APIs for high-performance financial applications
- Implement database solutions across RDBMS, NoSQL, and caching systems whilst maintaining financial sector security standards
- Collaborate with cross-functional teams to deliver high-quality software solutions
- Maintain CI/CD pipelines for automated deployment and testing of mission-critical applications
- Conduct code reviews, troubleshoot performance issues, and optimise applications to support MAS’ AI initiatives
- Work at the exciting intersection of AI, policy, and financial sector transformation, shaping the future of Singapore's financial landscape through cutting-edge technology initiatives
- Collaborate extensively with global leaders in finance and technology, gaining access to frontier learning experiences in a rapidly evolving environment
- Exercise direct influence on policies and initiatives that shape the future of finance, making a tangible impact on Singapore's financial ecosystem and its position as a global financial centre
What We Are Looking For
- Minimum 5 years of full-stack development experience with ability to work independently whilst collaborating effectively in cross-functional teams
- Proficiency in Angular and React frameworks for frontend development of financial technology applications
- Experience with popular backend frameworks such as Node.js (Express), Python (Django/Flask), Java (Spring Boot), or .NET Core
- Hands-on experience with RDBMS (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, DynamoDB), and caching systems (e.g., Redis)
- Experience with cloud platforms (AWS, Azure, or GCP), Docker, container orchestration, and microservices architecture
- Previous experience in financial services, banking, insurance, or FinTech sectors
- Proven track record developing secure, internet-facing applications with user authentication systems
- Strong understanding of secure coding practices for regulated financial environments
- Experience with CI/CD processes, SQL optimisation, and database design for high-performance applications
- Proficiency with Git, automated testing frameworks, and performance optimisation techniques
- Bachelor's degree in Computer Science, Information Technology, or related field
- Familiarity with vector database technologies and AI/ML infrastructure
- Experience with Kubernetes for container orchestration in enterprise environments
- Knowledge of Infrastructure as Code tools like Terraform or CloudFormation
- Experience working on AI implementation projects or digital transformation initiatives within financial institutions
- Experience in payments, capital markets, insurance or banking sectors
- Experience working in multicultural, international business environments
- Ability to work independently whilst collaborating effectively in cross-functional teams and managing multiple stakeholder relationships
- Critical thinking skills and results-oriented mindset with focus on delivering high-quality outputs that drive meaningful impact for Singapore's financial sector
- Adaptability to work in a fast-paced, evolving regulatory environment with changing priorities and emerging technologies
- Intellectual curiosity and commitment to continuous learning in rapidly evolving AI and financial technology landscapes
- Strong analytical and problem-solving capabilities
All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.
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