Deep dive into past and ongoing trends and provide data driven insights that identify and predict risky behavior that could result in outsized operational, financial, and reputational losses for Lithic and our customers
Develop customer and program segmentation frameworks to enable proportionate monitoring across varied use cases and industries
Identify rule criteria, test and validate rule output, and report on portfolio and rule performance in ways that influence Lithic's risk strategy; support fraud authorization rule management for managed services clients
Create dashboards to monitor performance across relevant metrics and create alerts to highlight any anomalies or unusual trends
Identify new approaches and data sources that could help us better understand various forms of risk, and partner with our operations, and product and engineering teams to implement them
Build relationships with our customer-facing teams (and occasionally our customers themselves) to best inform our approach to managing risk in a way that enables prudent growth
Support risk assessments, audits, and ad-hoc projects as assigned

Requirements

2+ years in financial services risk, fraud, or compliance roles, or equivalent experience investigating payments fraud and translating findings into actionable rules or policies; issuer or processor experience a plus
Excellent analytical thinking and problem-solving, with experience leveraging large datasets to drive assessments and decisions
Expert SQL skills (we use Snowflake but are open to all dialects); experience with dbt and Python preferred
Experience building reusable, well-documented analyses rather than one-off queries; comfort with analytics engineering practices (git, command line, modular data modeling) a plus
Experience creating performance monitoring dashboards using Metabase, Looker, or similar BI tools
Outstanding communication and influence skills, with the ability to foster collaboration across technical and non-technical stakeholders
Self-awareness and humility, with the ability to balance first-principles thinking, pattern recognition from experience, and knowing when to ask for help

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLPythonanalytics engineeringdata analysisperformance monitoringrule managementdata segmentationrisk assessmentfraud detectiondata validation

Soft Skills

analytical thinkingproblem-solvingcommunicationinfluencecollaborationself-awarenesshumilitypattern recognitionfirst-principles thinkingadaptability