Quantitative Insights Analyst

We are looking for a highly motivated Quantitative Analyst to join our Insights team in a dynamic Vehicle and Asset Finance business. This role is ideal for someone who is passionate about working with data to derive meaningful insights that drive business decisions. Our business operates in a highly complex data environment, incorporating GIS, credit, payments, insurance, telematics, and customer transaction data.

The successful candidate must have a strong analytical mindset and be eager to explore and understand multiple data domains. Whether its analysing geospatial patterns, understanding credit risk, or identifying trends in payments, the ability to connect the dots across diverse datasets will be critical.

This role is not just about technical expertise—it requires curiosity, proactive problem-solving, and strong communication skills to bridge the gap between quantitative analysis and business execution. Youll work closely with Sales, Customer Service, Product Development, and other stakeholders to ensure insights are actionable, well understood, and effectively implemented.

This role will be pivotal in developing and refining data-driven strategies, with a specific accountability to work closely with non-data and quantitative stakeholders to ensure strategies are well understood, actionable, and effectively executed. Through collaboration and leadership, the Quantitative Analyst will bridge the gap between quantitative analysis and practical business application, driving the organization towards its strategic goals.

• Appropriate qualification in mathematical, statistical, data science, engineering or related field
• Minimum 4 years experience in quantitative role(s)

• Data Analysis and Manipulation: Use SQL and Python to extract, manipulate, and analyze data from various sources.
• Data-Driven Insight Generation: Analyze and interpret multiple datasets (GIS, credit, payments, insurance, telematics, customer transactions) to uncover data-driven customer insights and trends that inform strategic decision-making and identify growth opportunities.
• Strategy Development Support: Collaborate with cross-functional teams and utilize data insights to develop, refine, and execute data-driven business strategies.
• Stakeholder Collaboration: Work closely with non-data and quant stakeholders to ensure a comprehensive understanding of data insights and their implications for business strategy and execution.
• Analytical Tool and Model Development: Contribute to the development and enhancement of analytical tools and models to support decision-making processes and operational efficiency. Develop predictive models and customer segmentation approaches to optimize customer lifecycle strategies.
• Performance Monitoring: Develop, enhance, and maintain dashboards and reporting mechanisms to track the effectiveness of strategic initiatives and operational performance. Build, maintain, and enhance dashboards, reports, and visualizations to communicate key insights to stakeholders.
• Innovation and Continuous Improvement: Stay abreast of industry trends and advancements in quantitative analysis to drive innovation and continuous improvement in business strategies and processes.
• Cross-functional Communication: Ensure clear and effective communication of data insights and strategic plans across different levels of the organization, facilitating a cohesive approach to strategy execution.
• Risk Management: Conduct risk assessment and predictive modeling to inform strategic planning and mitigate potential challenges.
• Presentation and Reporting: Present analytical findings and recommendations to senior management in a clear and impactful manner.
• Process Improvement & Automation: Continuously improve data processes and methodologies, identifying opportunities for automation and efficiency.

Information :

• Company : Mobalyz
• Position : Quantitative Insights Analyst
• Location : Midrand, Gauteng
• Country : ZA