Senior BI Analyst, Fraud

Responsibilities

• Perform deep fraud analysis to understand risk exposure and evolving fraud trends ensuring contribution to fraud detection features and models.
• Build and maintain fraud rules in response to evolving fraud behaviours.
• 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.
• Responsible for creating dashboards to track risk KPIs and fraud reports across teams.
• Identify gaps in current systems, policies, strategies, and recommend enhancements and improvements to mitigate emerging fraud risks through collaboration with multiple stakeholders.
• Support backend to enhance and optimize fraud strategy, processes, systems, and tools.
• Collaborate with cross-functional teams to understand the publisher’s business activities, and communicate risk trends, and patterns to different stakeholders according to risk assessment.

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
• Building effective relationships across the business.
• Owning projects from start to finish based on imminent fraud behaviours
• Background in Payment/Fraud Risk/ACFE is a plus