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

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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