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BANAMEX Credit Risk Analytics & Strategy Analyst

https://www.citi.com/ Logo

Citi

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Location:
Mexico , Ciudad De Mexico

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Job Responsibility:

  • Desarrolla, mejora y valida métodos de medición y análisis de riesgo para todo tipo de riesgos (mercado, crédito y operacional)
  • Desarrolla, valida y utiliza modelos de scoring y políticas relacionadas
  • Realiza análisis estadístico para proyectos de riesgo y modelado/validación de datos
  • Aplica métodos de análisis de datos cuantitativos y cualitativos incluyendo SAS, SQL y Visual Basic
  • Prepara exploración de datos estadísticos y no estadísticos, valida datos, identifica problemas de calidad de datos
  • Realiza análisis de datos y minería de datos, crea documentación estadística formal, informes y trabaja con Tecnología
  • Analiza e interpreta informes de datos, hace recomendaciones para necesidades de negocio
  • Utiliza métodos de modelado predictivo, sistemas de monitoreo de optimización, documenta soluciones de optimización y presenta resultados a audiencias no técnicas
  • Genera modelos estadísticos para mejorar métodos de obtención y evaluación de datos
  • Valida supuestos y escala los riesgos identificados en la metodología y el proceso
  • Automatiza la extracción de datos y tareas de preprocesamiento
  • Evalúa adecuadamente el riesgo al tomar decisiones de negocio
  • Analizar, monitorear y evaluar el desempeño de modelos y estrategias de riesgo crediticio
  • Desarrollar analytics estratégicos que sirvan como base para ajustes en políticas, estrategias y acciones de riesgo
  • Aplicar técnicas estadísticas avanzadas (segmentación, regresión, simulación)
  • Tomar bases de datos complejas, resumirlas, analizarlas y proponer acciones concretas
  • Desarrollar consultas y análisis avanzados en SAS, SQL y Python
  • Participar en el diseño, pruebas y optimización de estrategias de crédito y cobranza
  • Colaborar con equipos de pruebas, controles y áreas de negocio
  • Preparar presentaciones ejecutivas de resultados para liderazgo senior
  • Trabajar bajo esquemas Agile / Scrum en proyectos de alta prioridad

Requirements:

  • 5-8 years experience
  • Proficient in Microsoft Office with an emphasis on MS Excel
  • Consistently demonstrates clear and concise written and verbal communication skills
  • Self-motivated and detail oriented
  • Demonstrated project management and organizational skills and capability to handle multiple projects at one time
  • Bachelor's/University degree or equivalent experience
  • 5 a 8 años de experiencia en Analytics avanzado, Riesgo de crédito, Modelos, estrategias o data science
  • Indispensables: SAS (dominante / experto), SQL avanzado, Python avanzado, Manejo profundo de bases de datos, Estadística, probabilidad y análisis de riesgo
  • Deseables: R, Big Data / Data Science, Modelamiento predictivo, Metodologías Agile / Scrum
  • Inglés intermedio – avanzado
  • Formación Académica: Licenciatura en Actuaría, Matemáticas, Finanzas, Ingeniería, Programación o carreras afines con sólida base cuantitativa

Nice to have:

  • Experiencia previa en fraude o modelos de fraude
  • R
  • Big Data / Data Science
  • Modelamiento predictivo
  • Metodologías Agile / Scrum
  • Inglés intermedio – avanzado (deseable alto)

Additional Information:

Job Posted:
April 24, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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