Financial Data Analyst (ecl)

Maya Philippines

Philippines
On-site
Ecl model development and maintenance
Ifrs 9 / pfrs 9 framework
Pd, lgd, ead concepts
Maya Philippines is seeking a Financial Data Analyst to support the development and maintenance of ECL models under IFRS 9/PFRS 9, focusing on credit risk and impairment across various portfolios. The ideal candidate should have a strong background in finance or related fields, with at least 2 years of experience in credit risk and a good understanding of regulatory requirements

Job Summary

  • Support the development and maintenance of ECL models under IFRS 9 / PFRS 9 across multiple portfolios under the guidance of senior staff.
  • Ensure regulatory compliance with BSP circulars and PFRS 9 guidelines by preparing documentation and supporting internal and external audits.
  • Prepare draft reports and presentations of ECL results and recommendations for senior management and committees.

Matching Summary

Match Score: 85

Maya Philippines is seeking a Financial Data Analyst to support the development and maintenance of ECL models under IFRS 9/PFRS 9, focusing on credit risk and impairment across various portfolios. The ideal candidate should have a strong background in finance or related fields, with at least 2 years of experience in credit risk and a good understanding of regulatory requirements.

Skills & Requirements

Must-have

  • ECL model development and maintenance
  • IFRS 9 / PFRS 9 framework
  • PD, LGD, EAD concepts
  • Regulatory compliance (BSP circulars)
  • Data analysis and reconciliation

Nice-to-have

  • Philippine credit environment knowledge
  • Consumer lending portfolios familiarity
  • Digital banks or fintech exposure
  • Strong cross-functional collaboration

Key Requirements

  • Bachelor’s or Master’s degree
  • 2+ years experience in credit risk, impairment/ECL support, or provisioning
  • Proficiency in Excel
  • Working knowledge of analytics tools (SAS, Python, R, SQL)

Work Rights

Not specified

Tailored Resume

Cover Letter