About the role:

We are seeking a highly analytical and detail-oriented professional to join our Data & Analytics team. This role focuses on validating fraud and dispute models, ensuring compliance with regulatory and client standards. The ideal candidate will combine quantitative expertise with strong communication skills to establish a robust model governance framework.

Responsibilities include:

Model Validation & Risk Assessment

• Perform independent validation of models used fraud and dispute resolution.
• Assess conceptual soundness, data integrity, and performance of models against regulatory, client, and internal standards.
• Conduct back-testing, benchmarking, and sensitivity analysis to evaluate model robustness.
• Document validation findings and provide actionable recommendations for remediation, when required. 

Governance & Compliance

• Maintain model inventory and ensure adherence to Model Risk Management (MRM) policies.
• Support governance processes including model approval, periodic reviews, and retirement.
• Ensure compliance with regulatory requirements such as OCC guidelines.

• Establish and enforce data quality standards, metrics, and KPIs across the organization.
• Collaborate with stakeholders to document data lineage and business rules.

Data & Documentation Standards

• Create and oversee policies ensuring consistency and compliance in data and modeling processes.
• Validate input data sources for accuracy, completeness, and appropriateness.
• Develop and maintain comprehensive documentation for models, assumptions, and validation procedures.
• Implement controls to monitor ongoing model performance and risk indicators.

Stakeholder Collaboration

• Collaborate with Sales and Legal teams to ensure Quavo is compliant with prospective clients’ model governance standards.  
• Partner with quantitative teams, risk managers, and business units to resolve model issues.
• Communicate validation results and governance updates to senior management.

Required Qualifications:

• Bachelor’s or Master’s degree in finance, Economics, Statistics, Mathematics, or related field.
• Strong understanding of financial modeling techniques and risk management principles.
• Proficiency in statistical tools and programming languages (Python, R, SAS, SQL, or similar).
• Familiarity with regulatory frameworks
• Comprehensive understanding of contractual requirements and data sharing protocols across vendor ecosystems
• Excellent analytical, problem-solving, and documentation skills.

Preferred Qualifications:

• 3+ years of experience in model validation, risk analytics, or quantitative finance.
• Knowledge of machine learning techniques and advanced modeling approaches.
• Strong communication skills for presenting technical findings to non-technical audiences.
• Fraud and Dispute experience a plus.