The Market Risk Senior Analyst is within the Risk Organization reporting to the Headof Market Risk & Analytics. This position has proactive participation in the Asset and Liability Management (ALM) process by developing policies, methodologies, and limits associated with market risk exposure for each of theTreasury activities. Monitoring and reporting compliance with limits and regulations related to liquidity, interest rate risk, balance sheet structure, funding and investments.

Responsible for developing, designing, maintaining, and validating BSA models, tools, and methodologies to identify, mitigate, monitor, control and report BSA risk factors that impact Amerant Bank in accordance with bank policies, procedures and regulatory guidance in order to protect capital, maximize earnings and shareholder value.

Responsible for the process of drawing valuable insights from data. Managing data and information strategy, governance, control, policy development and effective exploitation.

- Provide and present to executive and management level analysis, data products, predictive models and developments in Business Intelligence and Analytics. In Venezuela and Panamá.- Leading, coordinate and develop with technical teams in my charge, analytical tools like predictive models or statistical analysis methodologies, to ensure the business goals. - Leading, coordinate and develop with technical teams in my charge, to ensure the marketing objectives of the organization, the creation of target audiences, management, dispatch, and evaluation of multichannel campaigns with analytical and marketing tools. - Leading, coordinate and develop with technical teams in my charge, the develop and maintain the business intelligence platform, including reports and dashboard to different levels of personal from the whole organization in a unique place. In Venezuela and Panamá. - Leading, coordinate and develop with technical teams in my charge, the process to analyze social networks data, using different techniques like Sentiment Analysis and Link Analysis. The principal goal was identified leads of sales to products in the enterprises of the group. - Leading, coordinate and develop with technical teams in my charge, a methodology to segment customers based in they transactional geolocation behavior. - Develop a methodology to segment customers in a global holding vision, based in a customer value concept. - Build a Chatbot, based in AI technology, to help to employees with intern information systems and instructions in some operations of commercial process. With Google DialogFlow.

- Provide and Present results of statistical analysis to senior management and other business units.- Coordinate and develop with technical teams in my charge, analytical tools like predictive models or statistical analysis methodologies, to ensure the business goals. Usually with SAS Base and SAS Enterprise Miner.- Coordinate and develop with technical teams in my charge, to ensure the marketing objectives of the organization, the creation of target audiences and evaluation of multichannel campaigns with analytical and marketing tools.- Coordinate, develop and monitoring the application of methodology to assign quantitative customer value using different segmentation techniques like RFM, in support of strategic decision making. This segmentation was used for claims, collections, and customer service improvement.- Identify cardholder’s patterns of purchase based on customer use behavior. Analysis use: Promote and incentive credit card usage.- Design and implement a methodology to identify potential new cardholders from payroll databases.- Develop a model to score the customer based on usage probability. - Analysis to select customers for credit card cross selling and/or up selling initiatives.- Conduct studies for card portfolio migration. Major projects: Pre-paid to credit card; Gold to Platinum.

- Development of Predictive Analytical Models under the Data Mining approach and the approach of statistical analysis techniques, as support for the cross-selling of products, increase in the relationship with customers, decrease in customer desertion, decrease in losses and increased profitability.- Construction of impact scenarios and in the preparation of value-added proposals in business initiatives for sale and/or communication of the strategies that are defined by the business, in the financial sector.- Developed methodology to assign quantitative customer value using Recency, Frequency, and Monetary (RFM) segmentation in support of strategic decision making. This segmentation was used for claims, collections, and customer service improvement.- Identify cardholders patterns of purchase, based on customer use behavior. Analysis use: Promote and incentive credit card usage.- Develop and manage the process to massive and personalized marketing campaigns. To communicate a message or offer products to our targets customers. Using SAS Customer Intelligence.- Design and implement a methodology to identify potential new cardholders from payroll databases. - Analysis to select customers for credit card cross selling and/or up selling initiatives.- Conduct studies for card portfolio migration. Major projects: Pre-paid to credit card; Gold to Platinum.- Present results of statistical analysis to senior management and other business units.- Develop and maintain Data quality process.

School of library science – Faculty of Psychology- Professor of Statistics Level I & II.

Senior Statistician in the Statistics Department. Professional Supervisor II.- Construction of impact scenarios and the preparation of value-added proposals in planning initiatives for the energy sector.- Statistical Analysis to solve different problems in commercial process and attention customers.- Present results of statistical analysis to executive and senior management units.- Develop and maintain a Data architecture and Data quality process. - Develop and maintain an analytical information platform, including reports and dashboard to different levels of users, intern and public, in a unique place. Usually with SPSS and Excel.

Census Technical Unit., Program for the Population Census. - Construct and evaluate the technical design of the sampling plan for the population census program.- Supervise the execution operations of the Census program at the national level.- Develop programs for capturing, processing and disseminating information. Using SPSS and Excel.