- Work in engineering teams to build and support enterprise investment data & analytics systems consumed by investment professionals and platforms across the firm.
- Develop business solutions using your strong analytical skills, and contribute to the team in delivering technology value directly to the business.
- Perform regular peer code reviews and provide technical coaching to junior team members, and sharing to raise the quality bar for engineering talent.
- Be actively involved in software delivery for fast-moving agile projects with modern DevSecOps practices (e.g. Github, Jfrog, Jira) and data technologies (eg. Python, Snowflake/Databricks, DBT, Airflow).
- Push for greater automation and automated testing to improve productivity and reduce operational risks.
- Become an excellent team player with a collaborative mind-set, you will work directly with investment and technology professionals at different levels.
What makes you a successful candidate
Join us if you have a passion for data and want to be part of a team in building and developing GIC's data foundation and infrastructure.
- 4 or more years of relevant technology experience preferably in financial risk services or asset management industries, and experience in leading software development teams
- Good engineering experience & practices in the following:
- SQL, and/or relational database Postgres, Oracle, Snowflake
- Python/Pandas/DBT/PySpark
- Java / C# (.NET Core), and/or similar OOP frameworks
- Unix, Shell scripting
- (Optional) Docker / Kubernetes / Github workflow, and/or other devops capabilities
- (Optional) AWS services such as Glue/Batch, S3, SQS, SNS, EKS
- (Optional) Federated query tools such as Denodo, Presto/Trino, Starburst
- Willingness to learn with attention to detail, demonstrating a strong passion in technology and/or finance
- Fair presentation skills, and communication skills across technical and non-technical audiences
- Good engagement with software engineers and guide hands-on development
- Ability to collaborate with cross-departmental business and technical partners to contribute in the delivery of business outcomes
- Bachelor's or equivalent degree in Science, Technology, Engineering and Mathematics (STEM) related discipline is advantageous
