To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems.
Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.
Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
Design and implementation of data management strategies for model maintenance and future development.
Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
Monitoring model performance in real-time and identify any potential issues or biases.
Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.
Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation.

Hands-on experience on Python & SQL.
Relevant experience in the stream of Data Analytics.
Exposure to Business Intelligent tools like MI (e.g. Tableau/Power BI) will be preferred.
Machine Learning – Will be added advantage for the role.
You may be assessed on key essential skills relevant for success in role, such as risk and controls, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Analytics AVP

Key skills