AI & Data Governance
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Job Description
Data & Analytics professional validating fraud and dispute models for regulatory compliance at Quavo. Collaborating with teams to ensure adherence to governance and quality standards.
Responsibilities:
- 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.
- 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.
- 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.
- 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.
Requirements:
- 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.
Benefits:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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