Banamex Data Scientist Lead C13

**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.

**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:
Licenciatura en Economía, Estadística, Informática o áreas afines. Deseable maestría.

Experiência: Al menos 7 años en puestos relacionados con análisis de datos, ciencia de datos, desarrollo de modelos de Machine Learning e Inteligencia Artificial **Conocimiento en SAS // Phython
- SQL (Avanzado)** Cientifico de Datos (Modelos)
- Desarrollo estadistica y econometria
- **Inteligencia Artificial Generativa (Indispensable)**

Habilidades: Análisis de datos, gestión de proyectos, innovación, habilidades de investigación, comunicación efectiva.

**Responsabilidades**:

- Explorar y experimentar con datos alternativos y fuentes externas para mejorar los modelos actuales.
- Desarrollar metodologías para integrar estos nuevos datos en los modelos existentes.
- Gestion y Seguimiento de proyectos internos
- Generacion de modelos (End to end) (diseño-analisis-extraccion
- pruebas
- etc
- Trabajar con proveedores de datos externos y gestionar las relaciones con ellos.
- Supervisar la calidad y la pertinencia de los nuevos datos incorporados.
- Monitorear la implementación de proyectos de experimentación y asegurar su éxito.**Job Family Group**:
Risk Management
- **Job Family**:
Risk Analytics, Modeling, and Validation
- **Time Type**:
Full time
- **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.
- **Other Relevant Skills**

For complementary skills, please see above and/or contact the recruiter.-
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