The Spec Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• Incumbents in this role may often be referred to as Data Scientists
• Specialization in marketing, risk, digital and AML fields possible
• 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.

Qualifications:

• 0-2 years relevant experience
• Have the ability to retrieve and manipulation data
• Possess analytic ability and problem solving skills
• Working experience in a quantitative field
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
• Ability to build partnerships with cross-functional teams

Education:

• Bachelors/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

¿Estás buscando aplicar tus conocimientos como Data Scientist?

¿Quisieras trabajar en una empresa que cuente con la tecnología adecuada, grandes volúmenes de datos de diversas fuentes y aplicar técnicas estadísticas avanzadas para proponer oportunidades de negocio?

En Citibanamex puedes desarrollar, implementar y ajustar soluciones analíticas que sean automáticas, replicables y escalables en distintos lenguajes de programación. Y si disfrutas de un ambiente laboral que promueva el aprendizaje e innovación continua.

Descripción:

Decision Science es un área en dónde analizamos grandes volúmenes de datos de diversas fuentes, con técnicas de análisis innovadoras, combinadas con nuevas plataformas tecnológicas y modelos de última generación, dando soluciones o áreas de oportunidad al negocio.

Diseñamos e implementamos nuevas estrategias con el fin de dar un mejor servicio a nuestros clientes, desarrollamos estrategias para productos de crédito al consumo y captación, proponemos y comprendemos KPI’s para presentar resultados sintetizados a alta dirección.

Responsabilidades:

• Diseño del monitoreo de los modelos implementados y dar mantenimiento a los mismos.
• Desarrollar análisis de datos de varias fuentes (demográficos, financieras, de buró de crédito, transaccionales, redes sociales, etc.).
• Investigación para proponer soluciones de vanguardia referentes al ciclo de vida de los modelos.
• Trabajar en conjunto con otras áreas del Banco (Producto, Segmento, Riesgo, Finanzas, Cross Sell, etc.) para diseñar e implementar nuevas estrategias.
• Identificar oportunidades de alto impacto, proponer estrategias que se traducirán en crecimiento de cartera e ingresos a través de modelos estadísticos y minería de datos.

Requisitos:

• Licenciado en Actuaría, Matemáticas, Ingeniería, Economía o afines (carrera por terminar o últimos semestres).
• Nivel de inglés: Intermedio-avanzado

Habilidades:

• Habilidades e interés en programación y análisis estadístico (experiencia con SQL, R, Python, Spark o SAS).
• Deseable experiencia en minería de datos, modelos estadísticos, series de tiempo, econometría, etc.
• Capacidad para traducir números en estrategias accionables.
• Auto organizado, colaborativo, proactivo, trabajo en equipo, creativo con habilidades de negociación, liderazgo y comunicación.
• Resiliencia y adaptación al cambio.

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