WHAT YOU’LL DO 

• Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety, and drive the analytical work of online experiment to optimise the existing strategies to achieve better conversion rate.
• Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates
• Develop scalable frameworks to manage tiered cutoffs for proprietary fraud machine learning models
• Evaluate innovative data sources to solve fraud risk, and partner with the data engineering team to develop and maintain the data pipelines for our core datasets for analytical purposes.
• Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation, and creating actionable dashboards and reports
• Partner with Machine Learning on building fraud and identity verification strategies for new product, market, and user segments
• Partner closely with Product and Engineering to identify highest impact points in the funnel to drive user acquisition and retention

   

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