The Role:
We are looking for aCredit Risk Officerto join our team in Makati. This role is responsible for analyzing credit portfolio performance, developing credit risk methodologies, and supporting data-driven risk decisions. You will play a key role inExpected Credit Loss (ECL)analysis, portfolio analytics, stress testing, and ensuring sound credit risk management practices.
If you have a strong background in credit risk analytics, portfolio management, and financial risk analysis, we'd love to hear from you.
What You'll do
- Lead the calculation, monitoring, and enhancement ofExpected Credit Loss (ECL)methodologies.
- Analyze portfolio performance, credit quality, delinquency trends, and key credit risk metrics.
- Conduct portfolio segmentation, vintage analysis, roll-rate analysis, and other risk analytics to identify emerging credit risks.
- Develop and monitorEarly Warning Indicators (EWI)to proactively detect portfolio deterioration.
- Perform stress testing, scenario analysis, and sensitivity analysis to assess portfolio resilience.
- Prepare regular credit risk reports and dashboards for senior management and key stakeholders.
- Recommend improvements to credit policies, underwriting strategies, and portfolio management based on data-driven insights.
- Support regulatory reporting and ensure compliance with applicable BSP regulations.
- Partner with Finance, Lending, Collections, Data Analytics, and Product teams to optimize portfolio performance and risk management.
- Continuously improve credit risk methodologies, reporting automation, and analytical processes.
What we're looking for:
- Bachelor's degree in Finance, Economics, Mathematics, Statistics, Actuarial Science, Data Analytics, or a related quantitative field.
- At least 5 years of experiencein Credit Risk, Portfolio Risk, Risk Analytics, or Credit Risk Modeling within banking, fintech, lending, or financial services.
- Strong knowledge ofExpected Credit Loss (ECL)and credit risk provisioning methodologies.
- Experience performing portfolio analysis, stress testing, and credit performance monitoring.
- Strong analytical skills with experience handling large datasets and translating findings into actionable business recommendations.
- Proficiency inSQL, Excel, or other analytical/reporting toolsis highly preferred.
- Familiarity with credit scoring models and portfolio monitoring methodologies is an advantage.
- Working knowledge of BSP regulations
- Excellent communication skills with the ability to present complex analytical findings to both technical and business stakeholders