BANAMEX Credit Risk Analytics & Strategy Analyst

Aplaro Ltd; Ciudad de México; Presencial; MXN 550.000 - 750.000; Jornada completa

Descripción de la vacante

Aplaro Ltd. busca un Analista Senior de Riesgo con experiencia en analytics para desarrollar y validar métodos de medición de riesgo en crédito, mercado y operaciones. Se valorará manejo de SAS, SQL y Python, y capacidad para comunicar resultados a audiencias no técnicas.

La posición exige coordinación en equipos multifuncionales, habilidades de liderazgo y experiencia en entornos Agile. Ubicación en Ciudad de México, con enfoque en proyectos de alto impacto y visibilidad.

Formación

• 5-8 años de experiencia en analytics/riesgo
• Dominio de herramientas analíticas y bases de datos
• Conocimientos de SAS, SQL y Python para extracción y modelado
• Buena comunicación escrita y verbal
• Formación en carreras afines y análisis de datos

Responsabilidades

• Desarrollar, validar y mejorar métodos de medición de riesgo (mercado, crédito, operativo)
• Conducir análisis estadísticos y modelado de datos con SAS/SQL/Python
• Preparar informes y presentaciones para dirección
• Trabajar en entornos Agile/Scrum y coordinar con equipos de negocio y tecnología
• Analizar resultados y proponer mejoras en políticas de riesgo
• Participar en diseño y pruebas de estrategias de crédito y cobranza

Conocimientos

Microsoft Excel

Comunicación

Gestión de proyectos

Proactividad

Licenciatura

Educación

Licenciatura

Herramientas

SAS

SQL

Python

Descripción del empleo

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; elevate 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

Responsabilidades Principales

• 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 para asegurar cumplimiento, consistencia y valor.
• Preparar presentaciones ejecutivas de resultados para liderazgo senior.
• Trabajar bajo esquemas Agile / Scrum en proyectos de alta prioridad.
• Alcance del Rol 50 % analytics estratégico / 50 % procesamiento de datos .
• 80 % técnico / 20 % administrativo .
• Sin equipo a cargo.
• Alta visibilidad y responsabilidad sobre decisiones relevantes de riesgo.

Perfil Requerido

Experiencia 5 a 8 años de experiencia en:

• Analytics avanzado.
• Riesgo de crédito.
• Modelos, estrategias o data science.
• Muy deseable experiencia previa en fraude o modelos de fraude .

Formación Académica Licenciatura en: Actua