Lead Data Engineer : SBI at Sanlam Group

What will you do?

Key responsibilities 

• Examples of some practical responsibilities include:
• Deployment of sales predictive models to score clients on a schedule within our client data hub
• Automation and deployment of lapse predictive models
• In many cases, the above involves collaboration with system developers to implement and deploy scalable solutions
• Create a value tracking model for our sales, lapse, and other value-adding models
• Build capabilities to monitor model and data drift
• Extend and build various data models (e.g., intermediary profitability measurement, risk underwriting)
• Sanitisation of some structured and unstructured data (e.g., text, visual data) to create value
• Work with actuaries and data scientists (and our 3rd party analytics vendors) on the above to ensure alignment with value-creation objectives

What will make you successful in this role?

Qualification & experience :

• Bachelor’s and/or Master’s degree in Computer Science, Statistics, Data science or related field
• Strong understanding of statistical analysis, modelling, and machine learning techniques
• Python/R and SQL experience is essential
• SAP HANA
• Utilization of cloud-based technologies
• Experience with distributed data/computing tools: (e.g. Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.)
• Experience with deploying machine learning to production environments
• Understanding of MLOps, how it is integrated into the analytical pipeline from data warehouse to machine learning model and finally to actionable insight
• Experience in leading a team of data engineering professionals

Core competencies

• Living up to our Group-wide core competencies, will help you achieve a successful career with us.   
• Cultivates Innovation: Creating new and better ways for the organization to be successful.
• Client Focus: Building strong customer relationships and delivering customer-centric solutions.
• Drives Results: Consistently achieving results, even under tough circumstances.
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives.
• Resilience: Rebounding from setbacks and adversity when facing difficult situations.

Role specific competencies

• Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder.
• Manages complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
• Strategic mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies.

Skills

• Strong analytical-thinking and problem-solving abilities
• Strong technical and operational ability 
• Good attention to detail 
• Effective communicator of technical information
• Passion for growing and leading a team