remote
Director, Financial Crime Analytics & Model Validation - Sun Life
Software Engineer
Lead a team that designs, validates and operationalizes advanced analytics models to detect and prevent financial crime, leveraging Python, SQL, machine learning and statistical techniques.
About the role
Key Responsibilities
- Define and execute the analytics strategy for financial crime detection, including model development, validation, and monitoring.
- Lead a multidisciplinary team of data scientists, analysts, and model validators to deliver robust AML solutions.
- Design and implement statistical and machine‑learning models using Python and SQL to identify suspicious activity patterns.
- Oversee model risk management processes, ensuring compliance with regulatory standards and internal governance.
- Collaborate with business stakeholders, technology partners, and risk functions to translate analytical insights into actionable controls.
Requirements
- 10+ years of experience in financial crime analytics, AML, or related risk domains.
- Strong expertise in Python, SQL and statistical/machine‑learning techniques for fraud detection.
- Proven track record of leading model validation and governance initiatives in a regulated environment.
- Excellent communication skills with the ability to influence senior stakeholders and present complex findings clearly.
- Advanced degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics) or equivalent experience.
Skills
pythonsqlmachine learning