In this role, you will help to solve analytical problems across the organization and grow profitability by proposing product and strategy changes. You will make data-driven decisions to optimize performance in various areas across the product, growth, and operations strategy. As the lead, you will help the team achieve their goals through servant-style leadership, removing roadblocks, and clear communication.
Responsibilities
Monitor performance and drive changes in the Credit Policy of our East Africa portfolio to optimize profitability and reach growth targets
Drive lending product strategy and roadmap, work on developing new products and grow existing lending portfolio effectively
Collaborate with data science, product, marketing, collections, and engineering to propose experiments and policy changes
Contribute to the development of current and new Credit MI, metrics, dashboards, and decision tools in order to gain accurate and timely insight into our Credit Risk drivers.
Create, implement, and support credit models leveraging a variety of mathematical and computer science methods and tools including Python, Structured Query Language (SQL), mathematical finance/ programming and statistics, and probability
Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts
Propose data-driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production
Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis
Efficiently deliver on compliance by meeting external reporting requirements to ensure we continue to meet our regulatory obligations
Run the Board Credit Committee for Branch Microfinance Bank, every quarter.
Ensure accurate and timely data submission to the relevant stakeholders such as CRB, CBK etc.
Qualifications
8+ years of relevant experience, 3+ years of experience managing a team
Experience in banking or Fintech sector a plus
Fluent in SQL and Excel. Proficiency in R/Python, or similar statistical analysis tool, is a plus
Previous experience in analytics and/or quantitative modeling, using large datasets
Experience in analyzing, visualizing, and communicating impactful insights to management, investors, and/or auditors
Strong strategic thinking and problem-solving skills
Enthusiasm for working across cultures, functions, and time zones
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