Senior Risk Data Analyst

View full description

Requirements:

• 7+ years of experience demonstrating high impact in a data-focused role such as product analytics, business analytics, or data science
• Prior experience in the Fraud/Risk domain
• Hands-on experience in SQL and Python
• Expertise in BI tools such as Tableau/Sigma/Metabase
• Exposure to building ML models to address business challenges
• Ability to structure and analyze data, leveraging techniques like EDA and cohort analysis, transform them into understandable and actionable recommendations, and then communicate them effectively across the organization and clients.
• Proficiency in defining, utilizing, and communicating performance metrics
• Creative problem-solving, strong critical thinking, and a getting-things-done approach

Responsibilities:

• Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies.
• Conduct in-depth analyses to uncover valuable insights contributing to fraud reduction and higher approval rates for our clients.
• Serve as a client-facing partner by translating complex data insights into clear, actionable recommendations
• Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities.
• Work with engineers on data instrumentation.
• Create and automate self-serve dashboards leveraging BI tools.
• Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business requirements into actionable data-driven solutions.
• Collaborate on implementing risk mitigation solutions, ensuring alignment with business goals.