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You will be updated with latest job alerts via emailPerform analysis to understand Risk / Fraud behaviours contribute 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.
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 optimise fraud strategy policies processes systems and tools.
Build cross-functional partnerships with Product Policy Legal Engineering teams and other teams within foodpanda to execute exceptional solutions.
Qualifications :
Bachelors degree or equivalent practical experience
4 to 5 years of experience working with analytical tools and/or data analysis (e.g. SQL Python Business Intelligence/dashboards)
4 to 5 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 independently
Being an integral member of the Fraud team through working independently
Building effective relationships across the business
Ability to thrive in a fast paced environment while balancing multiple tasks/projects simultaneously
Owning projects from start to finish based on imminent fraud behaviours
Remote Work :
No
Employment Type :
Full-time
Full-time