Model Validator/Data Science w/ Programming Experience

2 days ago


Pasig, National Capital Region, Philippines 77GSI Full time ₱1,200,000 - ₱3,600,000 per year

Work Location: Ortigas

Set-up: Full Onsite

Shift: Day Shift

The
Model Validation Analyst
will be responsible for validating bank models in compliance with the standards set by the Bank and the Bangko Sentral ng Pilipinas (BSP). The role ensures that models are managed effectively, remain accurate, and deliver high-quality, timely outputs. Senior candidates will take on more complex model validation assignments and may provide guidance to junior members of the team.

Key Responsibilities

  • Conduct independent validation of bank models to ensure they are accurate, robust, and compliant with regulatory requirements.
  • Align with the team's workplan and deliver timely and satisfactory validation outputs.
  • Ensure quality control across model validation processes and documentation.
  • Prepare validation reports and communicate findings effectively to stakeholders.
  • Collaborate with internal teams to enhance validation processes and methodologies.
  • For Senior Role: Lead complex model validation projects, provide technical expertise, and mentor junior analysts.

Work Experience

  • Analyst Role:
    2–5 years of experience in modeling and/or model validation.
  • Senior Role:
    5 or more years of experience in modeling and/or model validation.
  • Background in Mathematics, Statistics, or Computer Science.

Required Skills

  • Proficiency in programming languages such as
    R or Python
    .
  • Strong analytical skills with a keen focus on quality control and attention to detail.

Good to Have

  • Working knowledge of bank products: wholesale credit, retail credit, treasury, AML, fraud, and machine learning–based solutions.
  • CFA or FRM certification.
  • Strong understanding and experience in:
  • AML and Financial Crime Compliance (FCC)
  • Credit risk modeling
  • Market risk
  • Stress testing analysis
  • Machine Learning and Deep Learning


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