Overview

We are seeking a highly skilled and data-driven Lead Analyst, Risk insights to join our team! This role is central to transforming data into actionable risk insights, powering strategy decisions through robust analytics, reporting automation, and operational intelligence. The ideal candidate combines technical expertise in SQL/Python with strong business acumen and experience in leading insight delivery at a leadership level!

Key Responsibilities:

• Fraud Analytics: Lead deep-dive investigations to uncover emerging fraud and abuse patterns, evaluate model performance, and assess effectiveness of existing controls.
• Risk Strategy: Quantify business impact and recommend actionable mitigation strategies based on real-world fraud vectors and behavioral signals.
• Mitigation Execution: Deploy and iterate on fraud prevention levers, tune risk thresholds, and implement risk playbooks in coordination with cross-functional teams.
• Automation & Monitoring: Build and maintain automated dashboards and reporting pipelines to supervise key risk metrics, model health, and mitigation outcomes.
• BI Infrastructure: Own and scale the team’s business intelligence infrastructure to ensure stability, data integrity, and flawless access to risk data.
• Data Governance: Maintain consistent metric definitions and ensure reliable data pipelines that support accurate and trusted risk reporting.
• Executive Insights: Deliver compelling risk narratives and visualizations during business reviews to influence high-impact decisions at the leadership level.
• Cross-Functional Alignment: Collaborate with risk product, engineering, and operations partners to translate sophisticated risk signals into clear, actionable insights.

Qualifications:

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Data Science, Economics, Computer Science) or equivalent experience.
• 5–7 years of experience in analytics, business intelligence, or strategy—preferably within risk, fintech, or e-commerce environments.
• Sophisticated proficiency in SQL and Python for data analysis, pipeline development, and prototyping.
• Solid experience with BI and visualization tools (e.g., Looker, Tableau, Power BI) to communicate insights optimally.
• Demonstrable ability to manage and scale reporting infrastructure while ensuring data quality and uptime.
• Experience owning stakeholder-facing reporting and delivering insights to senior leadership.
• Good communication and project management skills; able to work independently and prioritize effectively in a fast-paced environment.
• Strong slide development and presentation skills, with a validated ability to convey sophisticated ideas to executive audiences.