The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Excellent communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
1. Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
2. Identifies and compiles data sets using a variety of tools ( SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
3. Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
4. Incumbents in this role may often be referred to as Data Scientists
5. Specialization in marketing, risk, digital and AML fields possible
6. 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.
Recommended Qualifications:
7. 5-8 years of experience
8. Must have the ability to retrieve and manipulation data
9. Advanced analytic ability and problem solving skills to proactively address business questions with innovative data driven solutions
10. Ability to build partnerships with cross-functional teams in order
11. Working experience in a quantitative field, Financial/Credit Card industry
12. Willing to learn and can-do attitude
13. Excellent communication and interpersonal skills, be organized, detail oriented, flexible and adaptive to matrix work environment
Education:
14. 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.
El Analista Senior de Automatización de Procesos IA forma parte del equipo de AI Automation Factory para Operaciones. Convierte los procesos operativos del banco en soluciones concretas de IA. Trabaja directamente con los equipos de operaciones para entender cómo funcionan los procesos actuales, identifica los puntos donde la extracción de datos o el análisis asistido por IA generan el mayor valor, y diseña las especificaciones funcionales de cada módulo.
Responsabilidades
15. Participación activa en el levantamiento de procesos con el equipo de operaciones: entendimiento del flujo actual, puntos de dolor y criterios de decisión de cada proceso.
16. Identificar y priorizar los casos de uso donde un módulo de IA generaría mayor impacto operativo.
17. Redactar las especificaciones funcionales de cada módulo: qué documentos procesa, qué campos extrae, qué reglas de negocio se aplican, cómo se validan los resultados.
18. Diseñar y refinar los prompts para los casos de uso de alta complejidad semántica.
19. Construir y mantener el ground of truth de validación.
20. Validar con los equipos de operaciones que los resultados del módulo son correctos y suficientes para el proceso real.
21. Gestionar el ciclo de retroalimentación
22. Documentar los criterios de aceptación de cada módulo
Conocimientos técnicos requeridos
23. Prompt engineering aplicado a casos de uso de negocio: extracción estructurada, clasificación, análisis
24. Lectura e interpretación de documentos jurídicos y financieros en español (contratos, poderes notariales, estados de cuenta, dictámenes, entre otros)
25. Metodologías de análisis y mapeo de procesos
26. Métricas de evaluación de calidad: precisión, recall, F1, accuracy por campo
27. Redacción técnica clara
28. APIs REST a nivel conceptual
Tecnologías Clave
29. AWS: IAM, VPC, EC2, S3, EKS/ECS
30. Infrastructure as Code: Terraform, CloudFormation
31. Datos: Apache Spark, Cloudera Platform, SQL
32. CI/CD: GitHub Actions, GitLab CI, Jenkins Agentes y AI: Arquitecturas de agentes, integración con LLMs
Perfil profesional
33. Ingeniería en computación, sistemas, software, ciencia de datos, actuaría o afín
34. 5+ años de experiencia, idealmente con conocimiento de procesos de negocio
35. Experiencia trabajando con áreas operativas o jurídicas en instituciones bancarias, conocimiento de lenguaje y criterios de negocio.
36. Proyectos demostrables donde haya diseñado e integrado agentes de IA o pipelines de extracción de información (GitHub, portafolio o casos documentados)
37. Capacidad de trabajo con expertos de dominio, para definición de criterios precisos para las soluciones de IA
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Job Family Group:
Decision Management
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Job Family:
Specialized Analytics (Data Science/Computational Statistics)
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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