Senior Business Analyst
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- San Juan, PR
- Permanente
- Tiempo completo
- Serve as the Fraud Strategy SME for authentication, fraud prevention, and risk mitigation across Consumer Lending Journey (CLJ), Digital Account Opening (DAO), and E‑Accounts, ensuring strategic alignment across all channels.
- Act as a liaison with cross‑functional business units, technology teams, and external vendors, gathering requirements, identifying fraud‑related gaps, and translating business needs into strategic initiatives.
- Design, enhance, and operationalize fraud and authentication strategies, including rule changes, workflow updates, fraud score optimization, and end‑to‑end process improvements.
- Conduct deep‑dive data analysis using fraud dashboards, KPIs, transaction data, authentication logs, and case reviews to validate strategy performance and uncover vulnerabilities.
- Monitor operational performance post‑implementation, leading weekly or periodic review sessions to track trends, identify anomalies, and recommend corrective or optimization actions.
- Engage with vendors (e.g., for fraud tools, authentication solutions, or identity verification platforms) to provide structured feedback, escalate issues, review performance reports, and evaluate enhancement opportunities.
- Support threat mitigation by analyzing ongoing and emerging fraud schemes, recommending countermeasures, and documenting preventive actions across CLJ, DAO, and E‑Accounts.
- Develop dashboards, reports, and automated monitoring tools to measure fraud exposure, operational efficiency, and authentication effectiveness.
- Provide clear communication to management, summarizing project status, risks, strategic findings, and fraud trends in a structured and executive‑appropriate manner.
- Identify and drive process improvements, including automation opportunities, workflow optimization, and enhancements that reduce fraud exposure while improving customer experience.
- Strong technical aptitude with advanced analytical and problem‑solving capabilities.
- Highly collaborative team player, comfortable working in fast‑paced environments with evolving priorities and ambiguity.
- Ability to define, aggregate, and analyze business results to support data‑driven decision-making for management.
- Demonstrated ability to take initiative, prioritize work, manage time effectively, and adapt to rapidly changing environments.
- Process‑improvement mindset, with the ability to identify inefficiencies and propose innovative solutions.
- Proficient knowledge of modern methodologies, including design thinking, customer journey mapping, programming concepts, and analytical frameworks.
- Strong ability to collaborate effectively across teams and departments.
- Detail‑oriented, organized, and systematic, with the ability to manage multiple tasks while maintaining accuracy.
- Intermediate proficiency (preferred advanced) in Office 365 tools, including Word, PowerPoint, Excel, and Power BI.
- Proficient in data‑management tools such as SAS, Cognos, Power Pivot, and similar platforms.
- Moderate in using Python, R, or other programming languages to manipulate data, visualize and draw insights from large data sets is preferred.
- Presentation skills.
- Excellent written and verbal communication skills in both English and Spanish, with the ability to present complex information clearly.
- Microsoft Power BI Data Analyst Associate Certification
- Certified Analytics Professional (CAP) Certification
- SAS Certified Data Scientist Certification
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