Payment Risk Specialist

• Develop security strategies targeting card theft and account theft based on historical data and expert experience, and continuously optimize these strategies through data analysis and mining.
• Balance the convenience of the payment experience with the risk of financial losses.
• Design, implement, and monitor security strategies that maximize risk-reward ratios to ensure the healthy development of the business.
• Establish a strategy monitoring indicator system and a data reporting system, and conduct routine monitoring of risk indicators, as well as the performance of strategies and models.
• Collaborate with multiple teams such as Product, Technology, and Algorithms to continuously refine the risk control middleware capabilities and build risk control processes and mechanisms.
• Requirements Bachelor''s degree or above in Computer Science, Mathematics, Statistics, Management Science, or related fields.
• Proven experience in data analysis and strategy formulation.
• Prior experience in risk strategy, data mining, or machine learning is preferred.
• Proficiency in at least one analytical tool, such as SQL, Python, R, etc.
• , with knowledge of common machine learning algorithms and practical experience.
• Strong problem-solving skills, self-motivated, with excellent learning ability, innovative application skills, and communication and coordination abilities.
• Fluency in English as working languages.
• Note: Please submit your resume in English:)Candidates with experience in the food service industry, particularly with iFood or Rappi, will be given priority.

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