Senior Fraud Strategy Analyst

Role Overview

• Serves as an expert in multiple areas of focus within Financial Crimes space and facilitates discussions with team members to solution towards the strategic business direction.
• Takes ownership of small
• and large-scale analyses or business strategy initiatives using advanced innovative/quantitative analytical approaches.
• Extracts insights from large, 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., Power BI, Tableau), and object-oriented programming (Python, SAS) tools.
• Provides insights into leadership related to additional resource needs ranging from IT investments, 3rd party support or additional analysts.
• Consults with the business to understand the business direction, environment and strategies for supported domains/clients; gathers requirements to recommend solutions and influence the business and drive change.
• 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.
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Requirements

• Bachelor's degree: OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 6 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 recommend strategies that 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.
• Strong 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 to synthesize data and clearly reporting findings.

Tech Stack

• Python
• SQL
• Tableau

Benefits

• comprehensive medical, dental and vision plans
• 401(k)
• pension
• life insurance
• parental benefits
• adoption assistance
• paid time off program with paid holidays plus 16 paid volunteer hours
• various wellness programs
• career path planning and continuing education