Data / Portfolio Risk Analyst

We invite applications from suitably qualified candidates. Role Summary - We’re looking for a Portfolio Risk Analyst who combines strong data analysis skills with hands-on portfolio and credit risk experience. - You’ll monitor, analyze, and improve our loan and lease portfolios, identify credit risks, track trends, strengthen collections, and deliver clear, data-backed insights that drive smarter decisions and reduce losses. Key Responsibilities: - Analyze loan and lease portfolios using data-driven methods to identify risk, trends, and opportunities. - Monitor key credit risk metrics (PD, LGD, EAD) and recommend portfolio adjustments. - Track defaults, concentration risk, and stress losses to inform risk strategies. - Build, maintain, and deliver high-quality dashboards and reports for management. - Ensure compliance with credit and risk policies. - Collaborate with and oversee collections teams to optimize debt recovery processes. - Provide actionable insights that improve credit quality, portfolio performance, and decision-making. - Train team members on emerging risk trends, data tools, and best practices. Key Requirements - Bachelor’s degree in Finance, Accounting, Economics, Data Science, or a related field. - 5+ years experience in portfolio risk, credit risk, or collections, with strong data analysis background. - Expertise in credit risk management, portfolio analytics, and loan performance monitoring. - Advanced Excel skills; experience with data visualization tools (Power BI, Tableau) is a plus. - Proven ability to combine analytical insights with practical risk management actions. - Experience supervising or collaborating closely with collections teams. - Strong analytical thinking, problem-solving, communication, and decision-making skills. Core Skills: - Risk Management - Portfolio Management - Credit Risk Analysis - Data Analysis / Reporting - Collections & Debt Recovery What Success Looks Like: - Portfolio risk exposure reduced and performance improved. - Accurate, timely, and actionable data-driven risk reports. - Optimized collections outcomes and stronger compliance. - Insights that management can confidently act on to improve credit quality.