Design and lead the implementation of anti-fraud strategies for consumer loans, covering application fraud, transactional fraud, and anti-cashout measures.
Establish key indicators to monitor various fraud patterns and continuously review and optimize strategies based on emerging trends.
Perform data analysis on daily risk exposure and P&L, and present insights and actionable recommendations to senior management.
Analyze business operations and local market dynamics to assess competitive positioning and inform strategic decisions.
Develop reports to track key performance indicators (KPIs) and support the ongoing enhancement of business policies and processes.
Requirements
Bachelor's degree or higher in Computer Science, Engineering, Business Analytics, Information Technology, Finance, Statistics, or a related field.
Minimum of 3 years of hands-on experience in data analytics.
Proficiency in SQL is required; experience with Python is an advantage.
Familiarity with data visualization tools (e.g., Tableau, Power BI) is preferred.
Prior experience in KYC risk management is highly desirable.
Proven ability to collaborate effectively with cross-functional teams in a fast-paced environment.
Experience in the finance or banking sector is preferred.
Exposure to business intelligence in the e-commerce industry is a plus.
