Data Analyst, Risk & Fraud

ROLE POSITIONING AND OBJECTIVES:

We're looking for a Data Analyst to join the team to apply a data-driven approach, in order to identify, understand, and scope emerging fraud trends (including payment fraud and marketplace risk). In this role, you'll be working closely with a cross-functional team consisting of policy managers, operations, data scientists, and others. You will require a mix of business and technical acumen, along with cross-functional skills to connect with various internal and external partners.

WHAT YOU WILL OWN:

• Perform 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.

• Bachelor's degree or equivalent practical experience
• 2 to 3 years of experience working with analytical tools and/or data analysis (e.g., SQL, Python, Business Intelligence/dashboards)
• 2 to 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 behaviours

Central Operations was born in 2017 and is the backbone operations for foodpanda in APAC. We have around 1800 employees internally and more than 4000 outsourced employees supporting 11 different countries and in their respective languages. To know us better, check out this video https://bit.ly/3KOHSEI