Join a leading financial services company focused on enhancing collections performance through data analysis. This role is perfect for someone with a strong analytical background in credit risk and a passion for using data to drive improvements.
In this role, you will be part of a dynamic team that leverages data to enhance collections and recovery strategies within a financial services context. Your main responsibility will be to analyze performance metrics related to collections and recoveries, identifying trends that can inform better decision-making. You will work closely with stakeholders to develop actionable insights that aim to optimize collections strategies and minimize credit losses.
Your daily tasks will include: • Analyzing data sets to evaluate collections performance • Identifying trends and patterns in credit risk data • Developing recommendations based on your findings • Collaborating with other analysts and teams to implement data-driven strategies
This position is ideal for someone with a background in mathematics, statistics, or finance, who has a keen interest in credit risk analytics. Strong skills in Python and SQL are essential, as you will be working with large data sets to extract meaningful insights. Familiarity with machine learning techniques is a plus, but not mandatory. If you are passionate about using data to drive performance improvements, this role could be a great fit for you.
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