Staff Fraud & Risk Analyst

What you'll do

• Perform deep analysis on large-scale transactional and behavioral data to uncover trends and diagnose anomalies.
• Design, execute, and interpret experiments such as A/B testing to optimize product and operational performance.
• Build and maintain clean data pipelines while proactively addressing gaps in data quality and structure.
• Develop high-impact dashboards and visualizations to guide strategic and operational decisions across the organization.
• Forecast performance against organizational goals and drive the resolution of gaps against those commitments.
• Translate ambiguous business questions into structured analytical approaches using data and strategic reasoning.
• Convert flagged anomalies and insights into recorded decisions with clear ownership and actionable outcomes.
• Communicate complex insights to senior leadership through concise storytelling and executive-ready deliverables.

What we're looking for

• 6+ years of experience in analytics, data science, or decision strategy roles.
• Experience in Financial Services or Fintech (preferred).
• Deep proficiency in SQL and working knowledge of Python for data exploration and automation.
• Proficiency in data visualization tools such as Quicksight, Tableau, or Qlik.
• Solid comprehension of A/B testing and experimentation principles.
• Excellent written and verbal communication skills to synthesize complex data into clear narratives.
• Demonstrated ability to lead cross-functional initiatives and align stakeholders through analytics.
• Bachelor’s Degree in Economics, Science, Math, or another Quantitative Field, or commensurate experience.