As a Software Engineer in SCB Data Analytics you will join a group of enthusiastic people working passionately to leverage the wealth of data for business users. You will build, set up and deliver full-fledged Big Data solutions for data-science and advanced analytics in support of identifying opportunities and driving business results with a data-driven research approach.

• Deliver functionality required for business and data analysts, data scientists and other business roles to advance the overall analytic performance and strategy of the bank
• Join forces with team-mates and other data solutions development divisions in assisting data solutions delivery to implement the data-platform product roadmap
• Develop and maintain data integration processes that are part of the bank’s data platform, whether building data pipelines or micro services or tools
• Implement and automate optimized data pipelines, ETL solutions, model data stores according to internal business, external business and product requirements
• Build best practices and strategies for the data platform to achieve data analytics and utilization milestones as per business and management roadmap
• Collaborate with data science and create reusable data-assets in order to automate and speed up machine learning model development
• Deliver full blown productionized solutions employing mature production-ready machine learning models
• Ensure data-assets are organized and stored in most efficient way so that all information is readily available for easy access and retrieval

• Ideal academic background would be a BSc or MSc degree in statistics, mathematics, quantitative analysis, computer science,computer engineering, software engineering or information technology
• Interest in relevant experience with scripting, developing, debugging and using Big Data technologies (e.g. Hadoop, Spark, Flink, Kafka), respectively working with SQL/NoSQL/Graph data store technologies
• Desire in getting experience with functional/trait-oriented languages
• Willingness to develop a mature problem-solving mindset
• Eagerness to gain a deep understanding of Information Security principles and discipline
• Having a clear understanding of Agile principles, practices and Scrum methodologies

• Has the know-how and the scripting and coding prowess to set up, configure & maintain a machine learning model development environment
• Experience architecting, coding and delivering high performance micro services and/or recommenders delivering recommendations to (tens of) millions of users