The model/anlys/valid sr analyst is a seasoned professional role that applies in‑depth disciplinary knowledge to develop new techniques and improve processes and workflow for the area or function. The role requires analytical skills, communication and diplomacy, and informal/formal leadership within teams.
Responsibilities
significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and facilitating services to others in area of specialization.
Develop, enhance, and validate methods of measuring and analyzing risk for market, credit, and operational risk, and develop scoring models and related policies.
Conduct statistical analysis for risk‑related projects and data modeling/validation.
Apply quantitative and qualitative data analysis methods using sas, sql, and visual basic to extract, transform, and analyze data.
Prepare statistical and non‑statistical data exploration, validate data, and identify data quality issues.
Conduct data analysis, data mining, create formal statistical documentation, and work with technology to address data and process issues.
Analyze and interpret data reports, and make recommendations addressing business needs.
Use predictive modeling methods, optimize monitoring systems, document optimization solutions, and present results to non‑technical audiences.
Generate statistical models to improve methods of evaluating data and identify relationships and trends affecting research results.
Validate assumptions, and identify risks and sensitive areas in methodology and process.
Automate data extraction and preprocessing tasks, perform ad‑hoc data analyses, and design complex data manipulation processes.
Assess risk appropriately in business decisions, ensuring compliance with applicable laws, rules, and regulations, and maintain transparency in control issues.
Responsabilidades (español)
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.
Diseñar, validar y definir estrategias de uso de modelos de puntaje y políticas asociadas.
Realizar análisis estadísticos avanzados para proyectos de riesgo, validación y modelación de datos.
Aplicar técnicas de análisis de datos cualitativos y cuantitativos utilizando python, sas y sql.
Realizar exploración de datos estadísticos y no estadísticos, validación de datos e identificación de problemas de calidad.
Desarrollar modelos predictivos y técnicas de data mining.
Analizar e interpretar resultados y traducirlos a 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.
Qualifications
5 to 8 years of experience in risk modeling and analytics.
Proficiency in microsoft office, especially excel.
Excellent written and verbal communication skills.
Self‑motivated, detail oriented, and capable of handling multiple projects simultaneously.
Demonstrated project management and organizational skills.
Bachelor’s degree or equivalent experience.
Technical skills in python, sas, sql, and vba.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, contact citi’s accessibility team. View citi’s eeo policy statement and the know your rights poster.
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