
Portfolio Analytics Manager
- Jakarta
- Permanent
- Full-time
- Understand, maintain and develop credit risk strategies to authorize new loans using relevant in-house credit risk scores, bureau information etc.
- Understand how risk-reward needs to be balanced ensuring that the loan book of Kredivo grows with healthy profits and controlled losses
- Develop frameworks to set benchmarks on Risk Appetite, Minimum Profitability, Standardized Authorization processes etc.
- Work with internal Product and Data Science team stakeholders to ensure that the credit risk strategies are implemented accurately
- Leverage Data Analytics with full potential to track key risk indicators assessing overall performance of new loan disbursals and existing loans repayment behaviour
- Work on ensuring that team is capable to produce ad hoc reports, investigation analysis in short span of time ensuring the gaps in monitoring are identified and addressed
- Actively liaising with Data Science, Business Development, Product and Growth teams to ensure that the risk monitoring reports capture the impact of relevant product and strategy changes on losses and profitability
- Bachelor's degree (Masters is a plus) in a highly quantitative field (Statistics, Operations Research, Economics, Computer Science, Mathematics or other quantitative disciplines)
- 5 years of work experience in Data Analytics and MIS working in a role of Senior Risk Analyst or Senior Data Analyst with minimum 2-3 years experience in credit risk strategies
- Should have a fair understanding of Risk Performance metrics like Expected Loss, Risk Appetite, break-even profits, early warnings on repayment behavior, DPD metrics, Flow Rates
- Strong ability to communicate effectively working in collaboration with different stakeholders
- Hands-on and proven experience in data driven decision making leveraging large structured and unstructured data to make impactful decisions for the business
- Familiarity with how Credit Risk Models (using statistics and machine learnings) work and high comfort with basic statistical skills useful for model diagnostics, model validation and interpreting if the model serves the purpose of Credit Risk Strategies or not
- Experience in leading a team is a great plus
- Technical Skills: Strong SQL and Excel skills is a must. Basic Python programming preferred