Analista Senior de Data Engineering y Automatización

• Provide input and analyze LOD portfolio management processes and outcomes of calculation of CECL reserves
• Contribute to the development of new techniques and the improvement of processes and workflow for the area or function
• Evaluate moderately complex and variable issues with substantial potential impact
• Analyze multiple sources of information and propose actions and alternatives for seniors
• Ensure the work and performance of all teams in the area are directly affected by the performance of the individual
• Design and implement pipelines and automated validations, reducing reliance on EUCs and manual tasks
• Collaborate closely with Technology teams to translate business needs into reliable and production-ready solutions
• Role focused on the design and automation of critical data processes for regulatory compliance

• 5-8 years of experience
• Strong knowledge of data analysis tools and methodologies
• Excellent communication skills, both oral and written
• Proven experience in credit risk management, preferably in a financial institution
• In-depth understanding of CECL reserve calculation
• Strong analytical
• Ability to manage multiple tasks and deadlines
• Knowledge of credit risk management principles and practices
• Experience in calculating CECL reserves and executing stress tests
• Familiarity with regulatory requirements related to credit risk management
• Experience in developing and implementing business strategies
• Strong analytical skills and problem-solving skills
• Excellent communication and diplomacy skills
• Strong problem-solving skills
• Ability to work independently and solve medium complex problems
• Ability to integrate with the team and area to accomplish the objectives of the subfunction/job family
• Ability to work under pressure and meet tight deadlines
• Bachelor's/University degree or equivalent experience
• Experience in automation and optimization data role processes and dashboards supporting regulatory reporting and risk management
• Experience in advanced programming with Python or PySpark (object-oriented programming desirable)
• Development of data pipelines and knowledge of ETL tools
• Close collaboration with IT to enable reliable and scalable data flows
• Educational background in Computer Science or related fields with a strong foundation in programming
• Advanced English

Master's degree is desirable