Purpose
Analysis of the behavior of the portfolio to define credit approval and fraud prevention strategies for the different credit products, such that business growth expectations are achieved, taking care of the level of losses, profitability, and optimal operating cost. Collaborate with multifunctional teams in the definition and implementation of analytical projects, infrastructure, and various control measures aligned with the established risk appetite.
Key Responsibilities:
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 perspectiveCoordination of investigations for the massive identification of fraud patterns, derived from alerts, experiments, and control groups, through massive data analysisPreparation of executive reports and presentations at a strategic levelAnalysis 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 modelingQuantitatively and qualitatively evaluate the need to incorporate additional information, new tools and/or new preventive policies to mitigate losses and prevent fraudCoordinate and develop proofs of concept from external data sources to evaluate added value for fraud prevention and loss mitigationA key point of contact with engineering and product to ensure appropriate development and implementation of fraud and risk policies and toolsAnalysis 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 KueskiStay 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
Position Requirements:
Graduate from one of the following majors: Engineering, Mathematics, Actuary, Economics or similarMore than 3 years of experience in analytical areas with proven experience in database management via Python, SAS, SQL, and TableauAt least 2 years of experience in analysis related to consumer credit risk behavior and financial fraud preventionKnowledge of analytical techniques for fraud prevention, consumer credit risk analysis, segmentation techniques, and project managementStrong analytical skills, and knowledge of statistical and financial toolsAnalysis of information available in databases via SQL queries, Athena, Python, Tableau/Databricks, and ExcelKnowledge of fraud prevention and credit risk issues with consumer credit productsAdvanced English and SpanishOperation of Data Sources and experience interpreting analytical tools associated with fraud preventionUnderstanding fraud and consumer credit risk metricsCritical and analytical thinkingProactive, purposeful, and focused on continuous improvementFocus on achievement and deliver results on timeDecision-making in uncertain scenariosCooperation and teamworkYou’ll love working at Kueski because:
We have a mission-driven culture focused on customer value, teamwork, humility, and integrityEveryone is expected to have role clarity, career growth, and a personal development plan. Feedback and recognition are embedded in our company processes, systems, and practicesWe ensure competitive salary, medical insurance, and wellbeing through ample and flexible time off as well as mental healthcare benefitsEveryone 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 workKueski: Where talent excellence improves Mexican lives
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