Senior Associate – Financial Services Risk & Regulatory Analytics

Our Clients; Makati; Hybrid; PHP 1,000,000 - 1,700,000; Full time

Job summary

Our Clients is seeking a Senior Associate for Financial Services Risk & Regulatory Analytics in Makati. Hybrid/remote options are available and the role is full-time.

You will lead advisory engagements with banks and financial institutions, perform model validation, and reinforce governance frameworks to meet BSP and international standards. The ideal candidate holds a relevant degree and has hands-on experience in risk analytics, model validation, and client-facing delivery, with strong

Qualifications

• Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Quantitative Finance, or related field.
• Experience in financial services risk analytics or risk advisory.
• Direct experience with model validation or model risk management.
• Excellent communication and client management skills.

Responsibilities

• Lead advisory engagements for banks and financial institutions.
• Perform end-to-end model validation and risk management procedures.
• Evaluate model documentation, methodologies, and data.
• Conduct stress testing and analytical procedures to assess model performance.
• Identify risk factors, limitations and regulatory deficiencies.
• Synthesize analysis into engagement reports and presentations.
• Present findings and recommendations to client leadership and risk committees.
• Assist institutions in meeting local and international regulatory frameworks.
• Collaborate with cross-functional teams on risk consulting initiatives.

Skills

Independent Model Validation

Model Risk Management

Regulatory Analytics

Banking Risk Governance

Quantitative Risk Analysis

Education

Bachelor's degree

Job description

Senior Associate – Financial Services Risk & Regulatory Analytics

• Location: Makati City, Metro Manila
• Work Setup: Hybrid / Remote options available
• Employment Type: Full-time

Key Responsibilities

• Lead and execute core advisory engagements for commercial banks, international financial institutions, and regulatory bodies.
• Perform end-to-end independent model validation and execute robust model risk management (MRM) procedures.
• Critically evaluate model documentation, underlying theoretical methodologies, assumptions, and supporting quantitative datasets.
• Conduct quantitative, stress testing, and analytical procedures to assess model performance and conceptual soundness.
• Identify, measure, and analyze complex risk factors, highlighting critical model limitations and regulatory deficiencies.
• Synthesize technical analysis into structured engagement deliverables, detailed validation reports, and executive presentations.
• Present complex analytical findings, risk observations, and strategic recommendations to client leadership and risk committees.
• Assist financial institutions in meeting local (e.g., BSP) and international regulatory frameworks and risk management mandates.
• Collaborate with cross-functional and global technical teams on advanced risk consulting initiatives.

Qualifications

• Bachelor's degree in Finance, Accounting, Economics, Mathematics, Statistics, Quantitative Finance, or a related field.
• Proven track record in financial services risk, regulatory analytics, risk advisory, or specialized consulting.
• Hands-on experience working directly with commercial banks or financial services institutions.
• Deep understanding of financial services regulatory requirements, risk governance frameworks, and industry best practices.
• Direct technical experience conducting independent model validation or managing model risk.
• Advanced quantitative, statistical, and analytical problem-solving abilities.
• Excellent verbal and written communication skills with strong client management capabilities.
• Hands-on proficiency with specialized risk domains including:
• Independent Model Validation
• Model Risk Management (MRM)
• Financial Services Regulatory Risk & Analytics
• Banking Risk Governance & Quantitative Risk Analysis