Serves as an expert in at least one area of focus within Financial Crimes space to develop solutions for complex problems that align with the business's strategic direction and objectives
Actively participates in and may take ownership of analyses or business strategy initiatives using innovative/quantitative analytical approaches
Extract insights from moderately complex data sets to design solutions within the Financial Crimes space through a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition and/or Machine Learning
Utilizes association rule learning, cluster analysis, anomaly detection, data analysis and visualization (e.g., PowerBI, Tableau), and object-oriented programming (Python, SAS) to identify trends from existing data reports and recommends strategies/analysis that should be performed to mitigate risks
Consults with the business to understand the business direction, environment and strategies for supported domains/clients; gathers requirements to recommend solutions
Advocates for self and teammates to encourage the growth of direct and indirect peers toward continual technical and soft skill progression
Serves as a resource for mathematical skills, business product knowledge, and/or Financial Crimes knowledge
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

Bachelor's degree; OR 4 years of relevant education and/or experience
4 years of experience in financial crimes supporting and participating in stakeholder consultation, needs assessment, requirement translation and prescription of technology solutions
Previous experience gathering business requirements and applying business rules to recommend technology solutions
Demonstrated experience using fraud rules management to reduce or mitigate loss and fraud exposures
Knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems
Knowledge of bank laws and regulations related to money movement and /or payments, including but not limited to Reg E, Reg CC, UDAAP, FACTA and Reg Z
Strong written and verbal communication skills, with demonstrated ability synthesizing data and clearly reporting findings

Fraud Strategy Analyst – Money Movement

Key skills