Empleos de control calidad

The Model/Anlys/Valid Sr Mgr accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within a defined area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Involved in short-term planning resource planning.Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.

Responsibilities:

• 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.
• Manages model risk across the model life-cycle including model validation, ongoing performance evaluation and annual model reviews.
• Produces analytics and reporting used to manage risk for Citi's operations.
• Translates operational requests from the business into programming and data criteria and conduct systems and operational research in order to model expected results.
• Assists in the development of analytic engines for business product lines.
• Communicates results to diverse audiences.
• Conducts analysis and packages it into detailed technical documentation report for validation purposes sufficient to meet regulatory guidelines and exceed industry standards.
• Participates on teams to solve business problems.
• Identifies modeling opportunities that yield measurable business results.
• Provides guidance to junior validators as and when necessary.
• Manages stakeholder interaction with model developers and business owners during the model life-cycle.
• Represents the bank in interactions with regulatory agencies, as required.
• Presents model validation findings to senior management and supervisory authorities.
• Provides effective challenge to model assumptions, mathematical formulation, and implementation.
• Assesses and quantifies model risk due to model limitations to inform stakeholders of their risk profile and development of compensating controls.
• Contributes to strategic, cross-functional initiatives within the model risk organization.
• Full management responsibility of a team, which may include management of people, budget and planning, to include duties such as performance evaluation, compensation, hiring, disciplinary and terminations and may include budget approval.
• 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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:

• 6-10 years experience
• 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 .
• Practical experience using SAS or similar statistical coding software to build and test prediction models. comfortable interfacing with business clients. proficiency handling very large data sets.
• Experience in a quantitative role in risk management at a financial institution with experience in either model development or validation.
• Good knowledge and understanding of a variety of model development and validation testing techniques covering risk models.

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

Educación, experiencia y habilidades:

• Licenciatura en Actuaría, Matemáticas, Matemáticas aplicadas a la Computación, Economía o afín
• Maestría deseable
• Experiencia comprobable de al menos 8 años en implementación y ejecución de modelos estadísticos
• Dominio avanzado en codificación en SAS y Python (incluyendo manejo de librerías estadísticas)
• Conocimiento estadístico avanzado para entender modelos y proponer ajustes
• Habilidad avanzada para optimizar código en entornos productivos
• Conocimiento sólido de modelos IFRS9 y cálculo de reservas de crédito
• Capacidad analítica, pensamiento estructurado y enfoque en resultados
• Experiencia en sector bancario y portafolios de crédito al consumo
• Proactividad, curiosidad técnica
• Comunicación clara y habilidades colaborativas, con la capacidad de resumir y comunicar resultados de análisis complejos de manera clara y concisa
• Compromiso con la calidad, ética, así como innovación y mejora continua
• Atención al detalle y capacidad de organización para entregar tareas en tiempo y forma
• Habilidad para trabajar bajo presión en entornos dinámicos
• Inglés avanzado
• Proactividad
• Pensamiento estratégico
• Experiencia en manejo de equipo
• Autogestión
• Resiliencia, tolerancia a la frustración y manejo de stress
• Rápido aprendizaje
• Excelentes habilidades de comunicación verbal y escrita, capacidad de preparar y presentar materiales ejecutivos.
• Alta capacidad analítica y de resolución de problemas

Principales Responsabilidades:

• Implementar y ejecutar en SAS/Python modelos predictivos de pérdidas crediticias
• Optimizar código para mejorar eficiencia, escalabilidad y precisión de modelos de pronóstico de pérdidas con sensibilidad macroeconómica
• Colaborar con equipos multidisciplinarios para traducir necesidades de negocio en soluciones analíticas efectivas
• Documentar procesos, validar resultados y asegurar cumplimiento regulatorio y de políticas internas
• Validar calidad de información insumo
• Analizar resultado de ejecución de modelos y definir ajustes necesarios
• Presentación de resultados y análisis
• Realizar análisis de impacto
• Responsable de la implementación y ejecución de un grupo de modelos
• Asegurar cumplimiento de procesos y políticas
• Deseable experiencia trabajando en nube y/o en plataformas AWS

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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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