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Director, Financial Crime Analytics, Model Validation
Sun LifeDirector of Financial Crime Analytics & Model Validation at Sun Life. Leading model validation efforts and regulatory compliance activities across global teams.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own the enterprise model governance framework for FC detection models
- Lead independent validation across NS, TM, and CRR models
- Assess conceptual soundness, data integrity, and model assumptions
- Execute validation techniques (back-testing, sensitivity, benchmarking)
- Evaluate key performance metrics (e.g., false positives, alert conversion)
- Ensure alignment with global regulatory standards and model risk principles
- Produce clear, defensible validation reports for senior management and regulators
- Lead ongoing model calibration to reflect evolving financial crime risks
- Optimize thresholds to balance detection effectiveness and efficiency
- Establish model performance monitoring frameworks and KPIs/KRIs
- Identify model drift, data issues, and emerging risk typologies
- Recommend model enhancements, recalibration, or redevelopment
- Oversee data sourcing, lineage, and controls supporting FC models
- Define and enforce data quality standards (accuracy, completeness, timeliness)
- Leverage analytics to identify model gaps and emerging risks
- Ensure end-to-end traceability from data to model outputs
- Promote advanced analytics (AI/ML) with strong explainability standards
- Support adoption of model interpretability tools where appropriate
- Act as primary lead for regulatory and audit interactions on FC models
- Provide subject matter expertise on model validation practices
- Support regulatory exams and remediation initiatives
- Ensure findings are documented, prioritized, and tracked to closure
- Define and evolve the FC model validation strategy and governance framework
- Lead the roadmap for analytics and model validation capabilities
- Present recommendations to executive governance forums (e.g., Model Committees)
- Balance detection, operational impact, and regulatory expectations in decisions
- Drive enterprise alignment across regions and stakeholders
- Promote a culture of independence, challenge, and continuous improvement
Requirements
What you’ll need- 10+ years in financial crime analytics, model validation, or model risk
- Expertise across TM, sanctions screening, and risk scoring models
- Advanced knowledge of statistical techniques, model validation methodologies, and performance metrics.
- Deep understanding of regulatory expectations and audit defensibility
- 5+ years with hands-on experience with screening and transaction monitoring systems (e.g., Actimize, NetReveal, Firco)
- Proficiency in analytics tools (Python, R, SQL, SAS)
- Strong data governance and data quality knowledge
- Proven ability to communicate complex models to executives and regulators
- Strong judgment, stakeholder management, and influencing skills
Benefits
Comp & perks- Hybrid work environment
- A friendly, collaborative, and inclusive culture
- 20 vacation days per year
- Flexible Benefits from the day you join to meet the needs of you and your family
- Pension, stock and savings programs to help build and enhance your future financial security
- The opportunity to move along a variety of career paths with amazing networking potential
- Access to our Global Learning Centre, available 24/7 for your learning needs
- Wellness programs that support the three pillars of your health – mental, physical and financial
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
model validationfinancial crime analyticsstatistical techniquesperformance metricsdata governancedata qualityscreening systemstransaction monitoring systemsanalytics toolsmodel risk
Soft Skills
communicationstakeholder managementinfluencingjudgmentindependencechallengecontinuous improvement