Full-Time Portfolio Analyst

• As an integral member of our Portfolio & Credit Risk teams, the Portfolio analyst is responsible for designing, developing, and implementing data-driven strategies and analytical frameworks to support business growth and risk management.
• Implement credit risk policies and acquisition strategies for Salary Lending and new products while ensuring compliance and risk optimization.
• Design, test, and execute credit strategies, pricing policies, and portfolio management frameworks to drive profitability and mitigate risk.
• Monitor portfolio performance, underwriting operations, and key risk indicators (KPIs) to enable proactive decision-making.
• Conducted data-driven analysis and collaborated with data engineering to enhance BI tools, core data sets, and risk assessment capabilities.
• Partner with Data & Analytics to develop advanced Credit Algorithms, predictive models, and research insights on portfolio risk and industry trends.
• Lead and collaborate on cross-functional projects on risk management, profitability, and process optimization.
• Closely monitor the portfolio using data segmentation techniques such as Python, SQL, Google Sheets, etc.
• Assist in developing and implementing data collection, data analytics, and other strategies to analyze statistical efficiency and guide decision-making.
• Establish measurements to analyze credit model performance, uncover insights, and discern targeted improvement areas.
• Monitor credit performance metrics to identify issues, new and innovative credit processes, feature improvements, and business growth opportunities.
• Design and implement reports and performance measurement dashboards.
• Share actionable, data-backed insights with key stakeholders.

• Bachelor's degree in Economics, Finance, Mathematics, or Statistics.
• 2 years experience in banking, credit risk or portfolio management.
• Strong financial analysis, underwriting, risk assessment, and risk mitigation skills.
• Proficient in Google Workspace or Microsoft Suite.
• Knowledge of Python, SQL, or similar data analysis tools.
• Strong communication and negotiation skills.
• Highly detail-oriented, collaborative.

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