Learner Retention Analyst role at Multiverse focusing on learner retention drivers through data analytics and reporting. Collaborate with various teams to enhance retention strategies.
About the role
- Mid-level Fraud Strategy Analyst accountable for USAA’s fraud strategy and policies. Collaborating with stakeholders to protect against evolving fraud threats through analytic capabilities and strategic initiatives.
Responsibilities
- 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 develop 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
- Uses 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.
Requirements
- Bachelor’s degree; OR 4 years of related experience may be substituted in lieu of degree
- 4 years of experience in financial crimes supporting and participating in stakeholder consultation, needs assessment, requirement translation and prescription of technology solution
- 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
- 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.
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
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