Data Analyst Risk & Analytics (Fintech)
As a Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Analytics and Insights team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.
Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)
Key Responsibilities:
- Develop intuitive dashboards and visualizations to monitor performance and guide decisions.
- Design and execute A/B tests and data-driven experiments to optimize business outcomes.
- Communicate insights clearly to technical and non-technical stakeholders, including executives.
- Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
- Analyze large-scale transactional data to detect trends, anomalies, and risk patterns.
- Investigate root causes of performance gaps and propose timely corrective actions.
- Build and maintain clean, reliable data pipelines for monitoring and experimentation.
- Identify and resolve gaps in data quality, availability, and structure.
Qualifications:
- 5+ years in analytics, data science, or decision strategy roles (Fintech or Financial Services preferred).
- Advanced SQL skills and working knowledge of Python for data manipulation and automation.
- Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
- Strong understanding of A/B testing principles and experimental design.
- Proven ability to influence decisions through data-driven recommendations.
- Excellent communication skills for translating complex data into actionable insights.
- Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.
senior business data analyst, risk analytics, fintech jobs, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, fraud detection, risk management, dashboard development, data science, financial services, experimentation, policy analytics, KPIs, OKRs, data storytelling, cross-functional collaboration
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