Gather analyse and interpret data to assess portfolio quality and understand the main drivers of emerging portfolio trend
Perform portfolio deep dive and segmentation analysis to find opportunities for growth and improvement of portfolio performance
Drive and manage portfolio actions by identifying appropriate parameters and analysing historical performance to find suitable criteria that will promote business growth and/or improve portfolio quality and profitability
Recommend test programs and other initiatives that can increase credit productivity approval rates and acquisition quality
Formulate Collections Strategies by performing data analysis on portfolio delinquency and flow rates curing and collections productivity 6. Collaborate with peers and other business units to deliver tasks/activities aiming to promote portfolio growth and good portfolio quality
General tasks include portfolio deep dives credit quality monitoring and other analysis to support other business units
Ensure accuracy of data used in the analysis and provide data driven solutions/recommendations
Recommend process improvements that will help Data Science and Analytics team deliver tasks more efficiently and timely
Perform and deliver tasks that will bring positive impact to the departmental and country KPls
Qualifications
Graduate of Mathematics Statistics Data Science Computer Science or any Bachelors degree with minimum five (5) years experience in analytics role modelling or data science in banking or fintech with knowledge on programming language (R Phyton Sql SAS) or any statistical tools.
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