Data Analyst - Risk & Fraud

Were looking for a Fraud Data Analyst who combines deep technical analytical skills with a strategic mindset and a curiosity for identifying fraud signals and driving trust in the fintech domain. Youll partner closely with product, engineering, and support teams to turn complex data into automated detection models, scalable protocols, and measurable business protection.
As a Fraud Data Analyst, you will be responsible for safeguarding the platform by identifying, investigating, and mitigating fraudulent activity. Your goal is to move beyond manual ticket handling by architecting scalable investigation protocols, automating detection logic, and providing strategic data insights that reduce the teams dependency on manual intervention.
Responsibilities
Lead complex transactional data into insights for suspicious patterns.
Design and maintain Standard Operating Procedures (SOPs) for fraud investigations to ensure consistent, repeatable, and fast resolution times across the team.
Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
Communicate findings clearly to stakeholders - Product, BE, etc. influencing both tactical and strategic decisions.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.