Senior Data (BI) Risk Analyst

Responsibilities

• Perform analysis to understand Risk / Fraud behaviors, and contribute to fraud detection features and models.
• Build and maintain fraud rules in response to evolving fraud behaviors.
• Extract insights from the large volumes of data and come up with new strategies to mitigate/stop fraudulent activities.
• Work independently on fraud analytics, and the analysis of large datasets to ensure appropriate feedback is given to the model.
• Participate in monthly, quarterly, and annual business reviews for the Fraud team.
• Identify gaps in current systems, policies, and strategies, and recommend enhancements and process improvements to mitigate emerging fraud risks through a collaborative approach with stakeholders.
• Own multiple projects to enhance and optimize fraud strategy, policies, processes, systems, and tools.
• Build cross-functional partnerships with Product, Policy, Legal, Engineering teams and other teams within Coda to execute exceptional solutions.

Requirements

• Bachelor's degree or equivalent practical experience.
• 3 years of experience working with analytical tools and/or data analysis (e.g., SQL, Python, Business Intelligence/dashboards).
• 3+ years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science
• Excellence in project management, structured and logical thinking, process optimization, interpersonal communication, and influencing skills.
• Ability to present clear solutions with excellent attention to detail and clearly communicate technical concepts with multiple cross-regional and cross-functional stakeholders.
• Ability to work through ambiguity and thrive in a rapidly changing environment.
• Managed data projects from start to finish successfully.
• Being an integral member of the Fraud team through working independently.
• Building effective relationships across the business.
• Owning projects from start to finish based on imminent fraud behaviors.