BANAMEX Data Science Senior Analyst

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Job Overview

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.
• Responsibilities: Recommended Qualifications: Education:
  • Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational. Also, may develop, validate and strategize uses of scoring models and scoring model related policies.
  • Conducts statistical analysis for risk related projects and data modeling/validation.
  • Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language.
  • Prepares statistical and non-statistical data exploration, validate data, identify data quality issues.
  • Conducts data analysis, data mining, understand and create formal statistical documentation, reports and work with Technology to address issues.
  • Analyzes and interprets data reports, make recommendations addressing business needs.
  • Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; create formal documentation using statistical vocabulary.
  • Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results.
  • Validates assumptions; escalate identified risks and sensitive areas in methodology and process.
  • Automates data extraction and data preprocessing tasks, perform ad hoc data analyses, design and maintain complex data manipulation processes, and provide documentation and presentations.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • 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

Objetivo del Puesto

Desarrollar, mejorar y validar modelos estadísticos y métodos avanzados de análisis de riesgo (crédito, mercado y operativo), transformando análisis complejos y grandes volúmenes de datos en insights estratégicos que soporten decisiones de negocio, cumplimiento regulatorio y optimización de procesos de riesgo.

Descripción del Área

El área es responsable del desarrollo de nuevos modelos estadísticos para riesgo de crédito, con dos responsabilidades clave:

Desarrollo técnico del modeloDocumentación, validación y proceso de aprobación

El rol requiere alto dominio técnico, fuerte base estadística y capacidad de codificar, documentar y explicar modelos de manera estructurada.

Responsabilidades Principales

• Desarrollar, mejorar y validar y análisis de riesgo para:
  • Riesgo de crédito
  • Riesgo de mercado
  • Riesgo operativo
• Diseñar, validar y definir estrategias de uso de modelos de puntaje y políticas asociadas.
• Realizar análisis estadísticos avanzados para proyectos de:
  • Riesgo
  • Validación
  • Modelación de datos
• Aplicar técnicas de análisis de datos cualitativos y cuantitativos utilizando:
  • Python
  • SAS
  • SQL
• Realizar exploración de datos estadísticos y no estadísticos:
  • Validación de datos
  • Identificación de problemas de calidad
• Desarrollar modelos predictivos y técnicas de data mining.
• Analizar e interpretar resultados y traducirlos en recomendaciones estratégicas.
• Documentar modelos, supuestos, riesgos identificados y áreas sensibles bajo un lenguaje estadístico formal.
• Automatizar procesos de extracción y reprocesamiento de datos.
• Diseñar y mantener procesos complejos de manipulación de datos.
• Colaborar con Tecnología para resolver problemas de datos y procesos.
• Optimizar sistemas de monitoreo y presentar resultados ante audiencias no técnicas.
• Evaluar adecuadamente el riesgo en la toma de decisiones, asegurando cumplimiento regulatorio y ético.

Prioridades del Rol

Analytics estadístico sobre la dataDesarrollo y generación de códigoTécnica estadística del modeloLógica y entendimiento del negocio

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Job Family Group: Risk Management

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Job Family:Model Development and Analytics

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Time Type:Full time

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Most Relevant Skills Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.

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