Job Description

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The role involves creating, analysing, and documenting a variety of predictive credit models across the whole credit life cycle.
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Responsibilities:

• Provide strategic direction to the collection's function and consider how it can be improved, optimized, and expanded to achieve business objectives
• Develop, implement, and monitor appropriate models and strategies throughout the collection's lifecycle
• Determine and monitor key risk factors, root causes, and propose solutions based on portfolio-level information
• Develop, review, track, and analyze targets for forecasting and collections scorecards
• Maintain proper dashboard rollout, data accuracy, and appropriate reporting by collaborating with the BI data team
• Provide up-to-date analysis and reporting, as well as strategic guidance, in order to increase collections consistently
• Preparation and presentation of performance reports on a daily, weekly, and monthly basis
• Assist multiple stakeholders and projects on a daily basis with analytical assistance
• Enhance portfolio profitability by recommending and implementing appropriate champion/challenger strategies
• Provide operational support for improving collection and recovery performance through data analytics and model integration
• Optimise the use of resources and develop a campaign strategy for maximizing their effectiveness
• Enhance junior analysts' analytical skills, share knowledge, and promote a culture of continuous improvement by training and mentoring them

Education:

• Degree in statistics, computer science, engineering, mathematics, or actuarial science

Job Experience & Skills Required:

• 5+ years of experience in advanced analytics in credit risk management and/or collections
• SQL experience required
• Experience with R, Python, and/or other leading statistical software (e.g., Tableau, Power BI)

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