SAVii

Senior Analyst – Credit Strategy & Analytics, Pooling

SAVii

full-time

Posted on:

Origin:  • 🇵🇭 Philippines

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Job Level

Senior

Tech Stack

PythonSQLTableau

About the role

  • Analyze credit applications, customer profiles, and financial data to assess risk.
  • Interpret credit scoring models, behavioral data, and alternative data sources to support credit decisions.
  • Assist in setting and refining credit policies and underwriting criteria.
  • Develop and maintain NPV valuation (financial) models for lending products, credit strategies, and portfolio performance.
  • Monitor performance metrics such as delinquency, default rates, and recovery.
  • Conduct cohort and segmentation analysis to identify trends and early warning indicators.
  • Support the development of risk dashboards and reporting tools.
  • Design, execute, and analyze lending campaigns aimed at driving credit usage, improving repayment behavior, or reducing risk.
  • Partner with business, marketing, CRM, and product teams to ensure alignment of campaign goals with credit policies.
  • Monitor campaign performance and provide recommendations for optimization.
  • Work with business, product, engineering, and collections teams to design and implement lending workflows.
  • Provide analytical support during new product rollouts or changes in credit policy.
  • Participate in cross-functional discussions on customer experience and product risk.
  • Translate business problems to statistical problems and leverage machine learning technology to solve business problems.
  • Experiment with new tools, techniques, algorithms and methodologies to enhance the bank’s capabilities

Requirements

  • Bachelor’s degree or higher in applied mathematics, statistics, computer science, physics, data science, economics, engineering or equivalent quantitative discipline
  • Relevant work Experience of 2-5 years
  • Proficient in SQL and Python for data manipulation and analyze large datasets
  • Proficiency in Excel, and/or data visualization tools (e.g., Tableau, Power BI)
  • Experience in consumer lending (credit cards or personal loans or BNPL) is required
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