Seeking an Anti-Financial Crime/Anti-Money Laundering Model Developer for a 100% remote position.

Our Anti-Financial Crime/Anti-Money Laundering Team is experienced in mitigating financial crime and committed to ensuring adherence to regional and global regulations. Our regional/global matrix structure allows for flexible responses to challenges in the core areas of: Anti-Money Laundering, Sanctions & Embargoes, Anti-Fraud, Bribery & Corruption, Investigations & Intelligence, Monitoring & Screening, and Risk Assessment. We apply the highest standards of conduct to guarantee the Bank’s success in fighting financial crime.

Key Responsibilities

• End-to-end implementation of AFC models, including hands-on development and programming
• Build and maintain an inventory of quantitative and qualitative models for AFC
• Review and address open AML transaction monitoring findings from model validation, audit and other independent bodies in a timely fashion
• Perform 'deep dives' to interpret data quality issues, identify remediation and track to resolution
• Address and resolve logic and configuration issues in monitoring scenarios by conducting tuning & optimization exercise
• Work as a technology lead and manage expectations of auditors, and senior management

You will have:

• Minimum of a bachelor’s degree or equivalent work experience with professional experience in financial crime technology/AML compliance technology
• Hands-on experience in designing and developing system on big data Hadoop technologies – Hive, Impala, Oozie, CDSW
• Experience in object-oriented programming with Python, Shell (Bash shell) programming, orchestrators and schedulers, GitHub – Bitbucket, YAML/JSON
• Understanding of R and Google Cloud Platform
• Experience with transactional data and analysis, big data analytics and business intelligence & database concepts, and experience in machine learning, robotic process automation and data science is a big plus