BANAMEX - Senior Data Analytics & Scientist - Officer at Citi

Ciudad de México, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

17 Jul, 26

Salary

0.0

Posted On

18 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Machine Learning, Artificial Intelligence, Data Analysis, Spark, Predictive Modeling, NLP, Data Visualization, Statistical Analysis, Feature Engineering, ML Ops, Cloud Platforms, Agile Methodologies, Business Intelligence, Dashboarding

Industry

Financial Services

Description

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 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: 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. INFORMACIÓN ADICIONAL: El/la Data Analytics & Scientist Sr. lidera proyectos analíticos de alto impacto mediante la aplicación de técnicas avanzadas de análisis, machine learning e inteligencia artificial. Define estrategias, construye soluciones analíticas complejas y asesora a áreas del banco en el uso de datos para decisiones críticas del negocio. Responsabilidades Principales Liderar proyectos de analítica avanzada e IA de principio a fin. Diseñar, construir y automatizar pipelines de datos con SQL, Python, Spark. Desarrollar modelos predictivos, segmentaciones avanzadas, NLP, optimización, scoring, etc. Construir dashboards ejecutivos y herramientas analíticas para áreas de negocio. Generar recomendaciones estratégicas basadas en datos. Asegurar calidad de código, buenas prácticas, versionamiento y documentación. Guiar a perfiles Jr. y generar estándares técnicos. Participar en iniciativas de modernización (migración a cloud, Continuos Integration / Continuos Delivery, feature stores, ML Ops). Interactuar con stakeholders de áreas como Riesgo, Finanzas, Marketing, Digital, Operaciones y TI. Evaluar y mitigar riesgos operativos y regulatorios en el manejo de datos. Conocimientos Técnicos Requeridos Lenguajes y tecnologías SQL avanzado — optimización, particiones, modelado de datos. Python avanzado — pandas, numpy, scikit‑learn, PySpark, MLflow. Spark / PySpark para big data distribuido. SAS (deseable) para integración con sistemas actuales del banco. R (deseable). IA Agentica (deseable): diseño de prompts avanzados, orquestación de agentes, flujos autónomos y RAG. Machine Learning & IA (deseable) Modelos de clasificación, regresión, clustering, recomendación. NLP (tokenización, embeddings, modelos de lenguaje). Timeseries forecasting. Feature engineering avanzado. Validación, tuning, métricas, interpretabilidad. ML Ops: pipelines, tracking, deployment. Herramientas Power BI / Tableau / Looker Studio (deseable). Git, GitHub/Bitbucket, Jenkins, Airflow. Plataformas cloud (deseable): Azure, AWS o GCP. APIs y microservicios (deseable). Perfil del Candidato 3–6 años de experiencia en roles de Data Science, Analytics, BI o similares. Profundo conocimiento en programación, estadística y machine learning. Capacidad de influenciar áreas de negocio con insights estratégicos. Liderazgo técnico, mentoría y ownership de proyectos. Excelente comunicación oral y escrita, claridad en storytelling con datos. Capacidad de trabajar bajo metodologías ágiles. Capacidad de abstracción y síntesis. Experiencia deseable Fintechs y/o Banca tradicional. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Business Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their 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 review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Responsibilities

Lead end-to-end advanced analytics and AI projects to drive strategic business decisions and process improvements. Design, build, and automate data pipelines while providing actionable insights to cross-functional stakeholders.