Data Analyst, Risk

4 days ago

Kuala Lumpur, Malaysia foodpanda Full time

**Company Description**
**Job Description** ROLE POSITIONING AND OBJECTIVES**:
**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.

**Qualifications**
- 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

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