Fraud Strategy Analyst (Mid-level) - Money Movement

The Opportunity

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.

What you'll do

• 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.

What you have

• 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.

What sets you apart

• Fraud strategy experience in money movement space.
• Experience using fraud detection engine for strategy rule writing.
• Familiar with writing fraud strategy related Wire, ACH and Zelle.

Compensation

Compensation range: The salary range for this position is: $85,040 - $162,550.

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
• Variety of wellness programs
• Career path planning and continuing education