6-10 years of experience in risk management, portfolio analytics, or financial analysis, ideally within fintech, lending, or capital markets. Strong quantitative and analytical skills; ability to translate complex data into actionable insights. Experience with risk reporting, credit performance metrics, and loss forecasting. Proficiency in SQL, Python/R, and data visualization tools (e.g., Looker, Tableau, Power BI). Solid understanding of financial modeling, credit risk frameworks, and/or securitization analytics. Excellent communication skills — able to present insights clearly to both technical and executive audiences. Bachelor’s degree in Finance, Economics, Mathematics, Data Science, or related field (Master’s preferred).