Finance Data Analyst

3 weeks ago

Metro Manila Philippines Maya Full time

Responsibilities

  • Support the development and maintenance of ECL models under IFRS 9 / PFRS 9 (PD, LGD, EAD) across multiple portfolios (credit cards, personal loans etc.) under the guidance of senior staff.
  • Help calibrate and validate models using internal and external data, documenting assumptions, methodologies, and validation results.
  • Ensure regulatory compliance with BSP circulars and PFRS 9 guidelines by preparing documentation and supporting internal and external audits.
  • Reconcile ECL outputs with Finance and Accounting teams and assist in providing explanations on drivers of change.
  • Work with Credit, Collections, and Finance teams to incorporate business strategies into impairment forecasts.
  • Prepare draft reports and presentations of ECL results and recommendations for senior management and committees (CreCom, Board).
  • Maintain model governance documentation (model risk, version control, sign-offs).
Qualifications
  • Bachelor’s or Master’s degree in Statistics, Economics, Finance, Mathematics, or related field.
  • 2+ years’ experience in credit risk, impairment/ECL support, or provisioning in a bank, fintech, or consulting environment.
  • Good understanding of IFRS 9 / PFRS 9 ECL framework, including staging, PD/LGD/EAD concepts, forward-looking overlays, and macroeconomic scenarios (willingness to deepen expertise is key).
  • Familiarity with BSP regulations, Philippine credit environment, and consumer lending portfolios is an advantage.
  • Proficiency in Excel; working knowledge of analytics tools (SAS, Python, R, SQL) for data analysis is a plus.
  • Strong communication and presentation skills; ability to explain findings clearly and work with cross-functional teams.
  • Exposure to digital banks or fintechs, stress-testing frameworks, model validation, credit policy; CPA or CFA certification (or progress) is an advantage but not required.
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