Risk Advisory Associate - Model Risk & Validation | Bank (Makati)

Work Setup: Monday to Friday, Hybrid (Depending on the client)
Industry: Advisory Firm
Location: Makati

Job Summary:

We are looking for a Risk Advisory Associate – Model Risk & Validation to support advisory and assurance engagements for banks, financial institutions, and other regulated organizations, with a focus on banking regulation, risk management, model risk management, and independent model validation. The role will involve evaluating model methodologies, data, assumptions, performance, governance, and regulatory compliance, while also providing exposure to internal controls, AML, Data Privacy, SOX, internal audit, and other financial services regulatory engagements.

Key Responsibilities:

• Support independent model validation and model risk management engagements, including the assessment of model methodologies, assumptions, data, performance, governance, and related controls.
• Perform quantitative and data analysis, including statistical testing, regression, time-series analysis, and other analytical procedures to support model validation and risk engagements.
• Assist in financial services risk and regulatory consulting engagements, including risk management reviews, internal audit, compliance testing, and regulatory assessments.
• Support specialized advisory engagements covering AML, Data Privacy, SOX, internal controls, and other regulatory and compliance-related areas.
• Prepare high-quality project deliverables, including analyses, working papers, reports, presentations, and other documentation, while collaborating with engagement teams and data analytics specialists.

Qualifications:

• Bachelor’s degree in Accountancy, Statistics, Finance, Mathematics, Economics, or another related quantitative or business discipline.
• At least 2 years of relevant professional experience in banking, financial services, risk management, model validation, data analytics, audit, compliance, or regulatory consulting.
• Working knowledge of banking, financial risk management, and regulatory requirements, with familiarity with model risk management and independent model validation.
• Strong quantitative and analytical skills, with knowledge of statistical concepts and techniques such as regression, time-series analysis, statistical testing, or related modeling methods.
• Proficiency in Microsoft Excel and Office applications.