Manager, Data Science & Analytics - Fraud

The Analytics team is looking for a Manager to drive measurement and identify opportunities for improving our fraud practices across our three audiences - Consumers, Dashers and Merchants. Analyze the effectiveness of existing fraud models and oversee the design, development, and management of new real-time fraud rules and models. Develop, augment and validate fraud identification and prevention solutions and processes and ensure appropriate cross-functional support to deal with systematic and malicious fraud events. Partner with Engineering, ML, Product and Operations teams to conceive, design & monitor strategies in order to mitigate fraud risk in the most precise manner possible. Manage the reporting of key performance indicators; present analyses and findings to management to steer the Fraud team’s strategic vision. Perform analytical deep-dives to identify problems, opportunities and actions required.

According to JobzMall, the average salary range for a Manager, Data Science & Analytics - Fraud in 303 2nd St, San Francisco, CA 94107, USA is $116,000 to $143,000 per year. This range is based on salaries submitted by employers and self-reported salaries from job seekers.

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