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Akulaku Finance Indonesia Linkedin · Posted 1mo ago

Credit Risk Data Analyst

Jakarta

Linkedin
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Indexed description

Responsibilities

  • Portfolio Monitoring: Analyze credit portfolio performance (NPLs, delinquency rates, vintage analysis, roll rates) and prepare periodic risk trend reports.
  • Data Exploration & Insight Generation: Conduct deep-dive analysis into customer behavior and credit data to identify risk patterns, anomalies, and opportunities.
  • Policy & Strategy Recommendations: Provide data-driven recommendations for adjustments to credit policies (e.g., cut-off scores, credit limits, pricing strategies).
  • Reporting & Dashboarding: Create, maintain, and automate dashboards using BI tools to monitor risk KPIs for stakeholders (Risk, Product, Business).
  • Cross-functional Collaboration: Support Risk Modelers/Data Scientists in the implementation and monitoring of credit scoring models.

Requirements

  • Minimum bachelor’s degree in Statistics, Mathematics, Actuarial Science, Economics, Industrial Engineering, Computer Science, or another quantitative field.
  • Minimum 2 years of experience in Data Analytics, Risk Management, or Credit Scoring in the Banking, Fintech Lending, or Multifinance industries.
  • Highly proficient in SQL (mandatory) for complex data manipulation, querying, and extraction.
  • Familiarity with Python or R (especially libraries such as Pandas, Scikit-learn, and XGBoost).
  • Proficient in creating dashboards using Superset, Tableau, PowerBI, or Metabase.Advanced level (VBA, Power Query, advanced Pivot Tables).
  • Ability to translate complex data and numbers into actionable business strategies and risk policies.
  • Strong problem-solving skills with a keen eye for detail and data anomalies.
  • Ability to clearly explain data insights and risk trends to non-technical stakeholders.
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