.**The Role**:**What will I do?**- Develop and implement comprehensive fraud detection strategies, fraud analysis models and business rules that balance fraud loss, cost of execution, and customer experience.- Identify risk factors and trends of potentially fraudulent activity utilizing technical data analysis and statistical interpretation.- Extract and analyze data, investigate data integrity, generate metrics, and perform data and portfolio analysis.- Generate fraud metrics to show the performance of fraud systems for use in management reporting.- Analyze root cause to identify opportunities to predict, prevent and mitigate risk within processes and performance.- Partner with Data Science, Engineering, Product, Operations, and Business teams to conceive, design, and monitor fraud strategies to mitigate fraud risk in the most precise manner possible; recommend which productfeatures to build and why.- Utilize advanced data and analytics tools to establish a metrics driven approach to optimize existing fraud strategies, in order to reduce false positive rates and increase fraud detection rates.- Identify gaps in current systems, policies and strategies and take actions to mitigate emerging fraud risks with guidance from managers.- Collaborate and partner with internal business stakeholders to promote fraud related awareness and effect change - through the coordination of fraud detection monitoring of system enhancements and trends.**Technical Knowledge**:- Proven knowledge on risk analytics (Credit and fraud prevention), in the financial industry (preferably in credit cards).- Strong knowledge of lending and financial products and services industry in Mexico, including key players and trends.- Excellent written and verbal communication with ability to create clear and concise summary documents of ongoing processes and provide detailed instructions to team members.- Ability to analyze complex situations and provide guidance, makes recommendations, and/or escalates arising issues timely.- Strong organization skills and ability to handle multiple projects efficiently in order to ensure projects are completed timely.- Able to interact and communicate effectively with all management levels to assess business needs in a professional manner.- At least 3 years of fraud and risk management and prevention, experience with traditional and non-traditional payments companies.- Master's Degree in Finance, Mathematics, Actuary or Statistics and strong quantitative analytical experience, including background with statistical modeling & analysis.- Extensive knowledge of card-not-present (CNP) and card-present fraud schemes in Mexico and Latin America, its risk prevention methods and the detection tools for all types of environments.- Has a deep understanding of the online payments landscape across all participants - issuer, merchant, acquirer and network