Data Scientist Sr Analyst

hace 4 semanas

Ciudad de México Citi A tiempo completo

The Business Analytics Int Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.

**Responsibilities**:

- Gathers operational data from various cross functional stakeholders to examine past business performance.
- Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
- May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis.
- Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
- Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
- Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies

**Qualifications**:

- 2-5 years relevant experience
- Advanced process management skills, organized and detail oriented
- Curious about learning and developing new skillsets
- Positive outlook with a can-do mindset

**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.

**_ 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**:

- Análisis, desarrollo e implementación de modelos que mejoren la experiência del cliente y con alto impacto en el negocio.
- Responsable del cumplimiento de la política de desarrollo, validación, implementación y monitoreo de modelos.
- Proponer fuentes de información alternativas e innovadoras
- Investigación para proponer soluciones de vanguardia referentes al ciclo de vida de los modelos.
- Conciliación y negociación entre las áreas involucradas del Banco (Producto, Segmento, Riesgo, Finanzas, Cross sell, Overlap, Pricing, Modelling, Testing etc.)
- Identificar oportunidades de alto impacto y proponga estrategias que se traducirán en crecimiento de cartera y Revenue, a través de técnicas y modelos estadísticos avanzados.
- Valoración y seguimiento de iniciativas de alto impacto.
- Resumir los hallazgos clave y presentarlos a la alta dirección.

**Requisitos**:

- Licenciado en Actuaría, Matemáticas, Ingeniería, Economía o afines. (Carrera terminada/Titulo deseable).
- Indispensable experiência profesional en paquetes estadísticos (SAS Avanzado, SQL, R Intermedio y Python intermedio, Spark deseable).
- Experiência de al menos 1 año en aprobación y monitoreo de modelos estadísticos, deseable uso de técnicas Machine Learning.
- Deseable 2 años de experiência (indispensable 1 año) en sector Financiero, en proyectos como data scientist con antecedentes de gestión de proyectos multidisciplinarios.
- Nível de inglés: Avanzado (altamente deseable)

**Habilidades**:

- Fuertes habilidades analíticas
- Capacidad para traducir números en estrategias accionables.
- Gestión de proyectos; conocimiento ágil y scrum: deseable, establecimiento de prioridades.
- Habilidades intermedias en Excel y Power Point.
- Habilidades de negociación, liderazgo: capacidad de crear sinergias con otros equipos, cola

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