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PayU Finance in Mumbai is seeking an Associate Risk Analyst to monitor portfolio performance and risk trends across Personal Loans, SMB Loans, and Transaction Credit. The role emphasizes data-driven insights, dashboards, and cross-functional collaboration with risk, policy, finance and technology teams.
You will work on early-warning reviews, risk appetite, guardrails, and governance, using SQL, Excel, Python, and BI tools to automate analyses and improve reporting quality.
Location - Mumbai, India
Experience: 1 - 4 Years
Domain: Risk & Analytics
Full-Time Opportunity
PayU Finance is a leading fintech lending company, part of the global PayU Group, committed to democratising financial services across emerging markets. We leverage cutting‑edge technology and data‑driven insights to provide innovative credit products to individuals and businesses. Our Risk & Analytics team sits at the heart of our lending business, ensuring responsible growth through rigorous credit risk frameworks, regulatory compliance, and advanced quantitative modelling.
Monitor the performance and risk trends of the Personal Loans, SMB Loans, and Transaction Credit portfolios across origination, delinquency, roll rates, losses, vintages, cohorts, and customer segments. Maintain regular portfolio reviews, investigate material movements and concentrations, and translate observations into clear risk actions.
Generate portfolio and risk insights through recurring analysis, deep dives, and early‑warning reviews to support responsible growth and sound credit decisions. Diagnose key drivers of performance changes and communicate concise, evidence‑based recommendations to relevant stakeholders.
Develop and maintain leadership dashboards and management reporting that provide a clear view of portfolio health, risk trends, key metrics, and emerging concerns. Improve the consistency, timeliness, and usability of dashboards by partnering with Data, Technology, Risk, and Finance teams.
Support the definition of the credit‑risk Risk Appetite Statement for the covered portfolios, including the metrics, thresholds, and monitoring approach used to assess risk‑taking. Periodically review the Risk Appetite Statement using portfolio performance and risk insights.
Define risk guardrails for portfolio growth, underwriting, exposure, delinquency, and other relevant risk dimensions in partnership with Risk Policy, Finance and Business teams. Monitor the guardrails throughout the year, track exceptions and trends, and support timely escalation or corrective action when limits are approached or breached.
Raise red flags and highlight key risk concerns to Risk Policy, Collections, Business, and Finance, supported by clear analysis and an assessment of potential impact. Work cross‑functionally to align on priorities, follow up on actions, and ensure that material portfolio developments receive appropriate visibility.
Use SQL, Excel, Python, AI and business intelligence tools to improve recurring portfolio analysis, data quality checks, reporting, and risk monitoring processes. Contribute to analytical projects and automation that strengthen controls, reduce manual effort, and improve the scalability of portfolio risk management.
Bachelor's or Master's degree in Finance, Statistics, Mathematics, Economics, Engineering, or a related quantitative discipline. CA, FRM, or CFA qualification is an advantage.
1 - 4 years of relevant experience in credit risk analytics, portfolio monitoring, lending analytics, risk reporting, or a related analytical role. Experience in a bank, NBFC, fintech lending institution, or other financial services organisation is preferred. Hands‑on experience working on analytical projects and managing end‑to‑end delivery with business and risk stakeholders.
Understanding of retail and small‑business lending portfolios, including Personal Loans, SMB Loans, and Transaction Credit. Knowledge of credit lifecycle and portfolio risk metrics such as origination, delinquency, roll rates, vintage performance, losses, and concentrations. Familiarity with credit‑risk governance concepts, including risk appetite, risk guardrails, early‑warning indicators, and escalation practices. Exposure to credit bureau data, collections risk, or digital lending portfolios is preferred.
Strong analytical, problem‑solving, and attention‑to‑detail skills, with a disciplined approach to data and deliverables. Clear written and verbal communication, with the ability to present complex quantitative findings in a concise and practical manner. Collaborative stakeholder management skills and confidence working with Risk Policy, Collections, Business, Finance, Data, and Technology teams. Ownership, prioritisation, curiosity, and the ability to work effectively in a fast‑paced environment.
Collaborative, inclusive, and intellectually stimulating work environment.