Fraud Analyst III

• Construction of strategies for sustainable business growth and fraud prevention, through the development of monitoring systems and the definition of credit evaluation schemes, through an analytical and numerical perspective
• Coordination of investigations for the massive identification of fraud patterns, derived from alerts, experiments, and control groups, through massive data analysis
• Preparation of executive reports and presentations at a strategic level
• Analysis of fraud behavior at a portfolio level to identify trends and develop methodologies for projecting credit losses associated with fraud, using data analysis methodologies, decision trees, and modeling
• Quantitatively and qualitatively evaluate the need to incorporate additional information, new tools and/or new preventive policies to mitigate losses and prevent fraud
• Coordinate and develop proofs of concept from external data sources to evaluate added value for fraud prevention and loss mitigation
• A key point of contact with engineering and product to ensure appropriate development and implementation of fraud and risk policies and tools
• Analysis of fraud and credit risk profiles to establish cross-selling strategies and campaigns to pre-approve credits in populations with good behavior to maximize the permanence and roots of clients with Kueski
• Stay up to date with industry best practices, regulatory guidelines and market developments to ensure compliance and promote continuous improvement in fraud risk management processes.
• Mentor and support junior analysts, providing guidance and experience in fraud risk analysis methodologies and techniques

• Graduate from one of the following majors: Engineering, Mathematics, Actuary, Economics or similar
• More than 3 years of experience in analytical areas with proven experience in database management via Python, SAS, SQL, and Tableau
• At least 2 years of experience in analysis related to consumer credit risk behavior and financial fraud prevention
• Knowledge of analytical techniques for fraud prevention, consumer credit risk analysis, segmentation techniques, and project management
• Strong analytical skills, and knowledge of statistical and financial tools
• Analysis of information available in databases via SQL queries, Athena, Python, Tableau/Databricks, and Excel
• Knowledge of fraud prevention and credit risk issues with consumer credit products
• Advanced English and Spanish
• Operation of Data Sources and experience interpreting analytical tools associated with fraud prevention
• Understanding fraud and consumer credit risk metrics
• Critical and analytical thinking
• Proactive, purposeful, and focused on continuous improvement
• Focus on achievement and deliver results on time
• Decision-making in uncertain scenarios
• Cooperation and teamwork

• We have a mission-driven culture focused on customer value, teamwork, humility, and integrity
• Everyone is expected to have role clarity, career growth, and a personal development plan. Feedback and recognition are embedded in our company processes, systems, and practices
• We ensure competitive salary, medical insurance, and wellbeing through ample and flexible time off as well as mental healthcare benefits
• Everyone is an owner and eligible for competitive stock options with a company poised for success. We're committed to building an inclusive and diverse team and we know this leads to incredible work

Remotive

Puesto de trabajo: Data Analyst
Conocimientos/habilidades: Informática, Python, SQL, Tableau