AVP/VP, Software Engineer (Python), Technology Group

About the role

GIC, one of the world's largest sovereign wealth funds, is hiring a Software Engineer (Python) within its Technology Group. The group designs and leads a 24x7 global business supporting asset management, trading, investment operations and risk management, delivering secure, reliable and integrated solutions. The role involves partnering with portfolio managers, business managers and product owners to turn complex challenges into software solutions that support GIC's vision of a tech-driven, global, long-term investment firm.

Key responsibilities

• Partner with portfolio managers, business managers and product owners to turn complex challenges into software solutions.
• Design and develop advanced algorithms and applications that improve operational efficiency and decision-making.
• Use machine learning and artificial intelligence to build innovative solutions.
• Lead peer code reviews and share technical expertise.
• Run System Integration Tests and work with business users on User Acceptance Tests.
• Develop documentation and user guides for new systems.
• Continuously explore and integrate emerging technologies.

Required profile

• At least 5 years of relevant software development experience, with hands-on experience in solution design, software testing and production support.
• Bachelor's or equivalent degree in a STEM-related discipline is advantageous.
• Experience leading engineering teams and mentoring junior engineers is advantageous, especially for VP candidates.
• Preferred experience in finance-related domains such as quantitative research, analytics and trading strategy execution.
• Strong analytical, problem-solving, communication and interpersonal skills; ability to adapt to a dynamic environment and prioritise.

Required skills

• Proficiency in Agile methods such as Scrum, Kanban or Test-Driven Development.
• Python and related frameworks such as FastAPI, Flask or Django REST.
• SQL and data analysis libraries such as Pandas, Polars or DuckDB.
• Optional: machine learning frameworks such as TensorFlow or PyTorch.
• Optional: front-end technologies such as Angular or React.js and RESTful APIs.
• Optional: cloud platforms such as AWS or Azure, and containerisation tools such as Docker and Kubernetes.

All candidates go through a centralised recruitment process and are shortlisted based on team needs, including headcount, seniority, language and domain requirements. GIC's offices are open four days per week, with flexibility to work from home on other days.