Business Unit and Role Overview

Financial Crime Compliance (FCC) has primary responsibility for the execution of the firms enterprise-wide Anti-Money Laundering (AML), anti-bribery, and government sanctions compliance programs and, among other things, performs enhanced due diligence and government sanctions screening, as well as surveillance and investigations designed to identify potential terrorist financing, money laundering, bribery, market abuse, or other suspicious activity.

Opportunity

FCC is seeking an individual to join its FCC Data, Systems and Innovation team to assist in implementing and operating transaction monitoring surveillance models, model tuning and building AML Analytics across the firms businesses. S/he will be working with cross-divisional partners, including technology, operations and business personnel through all aspects of strategic and tactical builds of a critical transaction monitoring program, including but not limited to the following:

• Capturing, analyzing and documenting business requirements and functional specifications
• Data sourcing, data analysis and identifying data requirements
• Assist in development and implementation of AML Analytics
• Assist in integration of Machine Learning and Artificial Intelligence ML/AI into AML Models
• Data and surveillance validation planning and execution
• Conduct investigative and Testing reviews of FCCs controls and related partnered controls
• Draft detailed investigative and Testing reports, including opinions, findings and corrective action plans
• Utilize and apply statistical measures, machine learning algorithms to track and improve efficiency of Anti-Money Laundering (AML) surveillances
• Documentation of project artifacts for Compliance testing, Model Validation, regulatory and audit purposes

The successful candidate will have strong analytical skills, the ability to collaborate with others, manage workflows and multi-task.  The team member is expected to quickly gain an understanding of the firms global transaction banking businesses, and the rules and regulations under which the Bank operates.

The role is open to start immediately.

Basic Qualifications:

• 3-5 years of prior experience in an analytical role in Financial Crimes Compliance, preferably in Global Transaction Banking, Corporate Cash Management and/or Payments business
• Bachelors degree in engineering/technology with relevant work experience
• Understanding of AML and terrorist financing trends and typologies
• Knowledge of and experience with the latest AML transaction monitoring technology
• Experience of working on AML Transaction Monitoring product implementations, such as Actimize and Mantas; preferably modern transaction monitoring systems leveraging machine learning algorithms for detection
• Hands-on experience developing, tuning, and validating ML models (e.g., XGBoost, Random Forest, Clustering)
• Strong knowledge of databases, SQL scripts and querying large data sets
• Experience with Data Lake, Data Bricks, Tableau, Excel and/or other data analytics/visualization tools
• Ability to deal with data models and work on mapping data across platforms
• Excellent organization and project management skills ability to execute and manage a project independently
• Excellent written and verbal communication skills, ability to adapt to new changes and new challenges