182 Ofertas de Bbva en Madrid

En IT Partner España estamos en búsqueda de un Desarrollador TIBCO para incorporarse a un proyecto en el sector financiero (BBVA). Se trata de una posición de subcontratación, con incorporación inmediata y en modalidad híbrida en Madrid.

• Madrid (zona Las Tablas).
• Modelo híbrido: 2-3 días de presencialidad a la semana en oficinas del cliente.

• Experiencia de 2 a 4 años en desarrollo con TIBCO BusinessWorks (versión 5.xx).
• Conocimiento en integración de aplicaciones y servicios.
• Capacidad de trabajo en entornos colaborativos y metodologías ágiles.

• Experiencia previa en proyectos del sector financiero.
• Conocimientos de otros entornos de integración o middleware.

• Incorporación en un proyecto de alta visibilidad en BBVA.
• Contratación en modalidad de subcontratación.
• Tarifa acorde a la experiencia y valía del perfil.
• Posibilidad de trabajar en un entorno estable y de crecimiento.

Localización (Híbrido)

Overview

En IT Partner España estamos en búsqueda de un Desarrollador TIBCO para incorporarse a un proyecto en el sector financiero (BBVA). Se trata de una posición de subcontratación, con incorporación inmediata y en modalidad híbrida en Madrid.

• Madrid (zona Las Tablas).
• Modelo híbrido: 2-3 días de presencialidad a la semana en oficinas del cliente.

• Experiencia de 2 a 4 años en desarrollo con TIBCO BusinessWorks (versión 5.xx).
• Conocimiento en integración de aplicaciones y servicios.
• Capacidad de trabajo en entornos colaborativos y metodologías ágiles.

• Experiencia previa en proyectos del sector financiero.
• Conocimientos de otros entornos de integración o middleware.

• Incorporación en un proyecto de alta visibilidad en BBVA.
• Contratación en modalidad de subcontratación.
• Tarifa acorde a la experiencia y valía del perfil.
• Posibilidad de trabajar en un entorno estable y de crecimiento.

Localización (Híbrido)

En IT Partner España estamos en búsqueda de un Desarrollador TIBCO para incorporarse a un proyecto en el sector financiero (BBVA). Se trata de una posición de subcontratación, con incorporación inmediata y en modalidad híbrida en Madrid.

• Madrid (zona Las Tablas).
• Modelo híbrido: 2-3 días de presencialidad a la semana en oficinas del cliente.

• Experiencia de 2 a 4 años en desarrollo con TIBCO BusinessWorks (versión 5.xx).
• Conocimiento en integración de aplicaciones y servicios.
• Capacidad de trabajo en entornos colaborativos y metodologías ágiles.

• Experiencia previa en proyectos del sector financiero.
• Conocimientos de otros entornos de integración o middleware.

• Incorporación en un proyecto de alta visibilidad en BBVA.
• Contratación en modalidad de subcontratación.
• Tarifa acorde a la experiencia y valía del perfil.
• Posibilidad de trabajar en un entorno estable y de crecimiento.

Localización (Híbrido)

**facilitate the application for job offers with LinkedIn**. If you wish to obtain more detailed information, please consult our .BBVA QUANTUM Scientist Manager page is loaded# BBVA QUANTUM Scientist Managerremote type: Hybridlocations: 28050, MADRID, Madridtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 25, 2025 (8 days left to apply)job requisition id: JR BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.***Learn more about the area:***Quantum es una Subunidad del Holding Engineering Strategy & Control que se ocupa, junto con las áreas de negocio del banco, de analizar, explorar y, en su caso, implementar soluciones de computación cuántica aplicables al negocio, procesos u operaciones bancarias, tomando ventaja de las capacidades teóricas de esta tecnología para abordar problemas complejos con una dificultad que escala exponencialmente con las dimensiones de sus entradas, fuera del alcance de la informática clásica.**About the job:***Funciones principales:*** Liderar talleres con áreas de negocio para iterar una lista priorizada de problemas a abordar con un enfoque cuántico o un enfoque de inspiración cuántica, de acuerdo con nuestro Marco de Priorización, tomando en cuenta dos variables, Factibilidad e Impacto, siendo las instancias iniciales del problemas en dos ámbitos: Búsqueda de Ventajas Cuánticas en Optimización, Muestreo o Simulación y Aprendizaje Automático, con el fin de determinar cuáles son las Soluciones Cuánticas más factibles y de mayor impacto para nuestra firma. Protección contra Amenaza Cuántica en nuestros datos y comunicaciones, con Criptografía Post Cuántica y Criptografía Cuántica. El objetivo de estos talleres es la mejora o actualización del desarrollo y mejora de los casos detectados y la búsqueda e investigación de nuevos casos de uso. Trataremos de descubrir dónde tiene sentido Prueba de Concepto (PdC) o pasar de PdC a PMV (Producto Mínimo Viable).* Liderar el desarrollo de nuevas técnicas cuánticas o de inspiración cuántica para resolver los problemas más prometedores. Analizar algoritmos clásicos para compararlos con ellos.* Liderar el análisis de las necesidades de extremo a extremo a las que nos enfrentaremos al trasladar la cuántica a producción, posible integración de soluciones de inspiración cuántica.* Enseñar y colaborar con nuestros ingenieros para explorar cómo estos prototipos se pueden convertir en herramientas de uso comercial o interno (análisis de integración extremo a extremo)* Liderar el desarrollo del PMV más prometedor. Qué problema y qué algoritmo y backend: Tensor Networks, Digital Annealer, Quantum Annealer, Quantum Circuits.* Constituir el Programa Cuántico de Proyectos e Iniciativas luego de pasar el corte del embudo de nuestro Marco de Priorización, nutrir el Backlog Cuántico.* Liderar el desarrollo de PVM a corto plazo.* Liderar la investigación en PdCs de largo plazo* Liderar el inicio de una Academia Cuántica (Talento & Cultura, Ingeniería: Proyecto Ninja, retos.)* Liderar la investigación sobre el resto de problemas y tendencias en Cuántica (por ejemplo, Ciberseguridad)* Doctorado/ Licenciatura en Informática, Matemáticas, Física, Química, Ingeniería de Telecomunicación o similar. Un doctorado terminado será muy positivo, en Computación o Criptografía cuántica. Un máster en Computación Cuántica será muy positivo. La participación en un doctorado actual será muy negativa.* Amplia experiencia en gestión de proyectos y gestión de equipos* Capacidad de resolución de problemas complejos* Capacidad de diálogo de alto nivel con interesados, responsables de área y unidades a nivel global* Capacidad de análisis e investigación, capacidad para sintetizar y comunicar información de gran complejidad de forma estructurada y simplificada* Potentes capacidades comunicativas* Capacidad de síntesis* Idiomas Español e Inglés C1* Disponibilidad para viajar* Con base en Bilbao será muy positivo.**Skills:**Customer Targeting, Empathy, Ethics, Innovation, Proactive ThinkingDon’t miss any opportunity and. upload your CV! You will join our Talent Community so that we can send you future opportunities that match your profile.#
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Overview

Conoce más sobre el área: At BBVA we believe that Data is a main asset for achieving market differentiation. Commercial Banking Analytics is in charge of delivering value to the business units by participating in strategic projects that have a strong data component, or by creating actionable insights for optimizing the decision making processes at all levels of the Organization. Commercial Banking is a Global unit based in Madrid and interacts with other global departments and with local units all across BBVA’s footprint (Spain, Mexico, South America and Turkey).

Sobre el puesto: We are looking for a results-oriented, enthusiastic and self-motivated senior data scientist with proven experience in designing and implementing data-driven solutions for business units to achieve tangible impact. You will apply your technical knowledge and programming skills to help business units create, develop, and/or optimize data-driven products, and derive actionable insights from data. You will also use your communication skills to share the results of your analysis with all relevant parties. You will use your project management skills to lead end to end data projects.

• Collaborate with key internal and external stakeholders to gather and understand needs and requirements
• Lead end to end data projects, managing all aspects: relationship with business, engineering, Data and development team
• Lead and guide more junior data scientists to achieve the project and business objectives
• Develop clean, simple and creative code to manipulate large datasets
• Design and implement robust analytic solutions ranging from basic statistical analysis to advanced machine learning / artificial intelligence models to cover the identified needs
• Represent / visualize results in the most appropriate format and present your findings effectively to analytical and non-analytical audiences
• Collaborate with IT teams to convert analytical proof of concepts into productive models

• Solid foundations in areas like (the more the better)
• • Statistical analysis is a MUST
  • Machine learning for classification, regression and unsupervised tasks is a MUST (actual experience required). Reinforcement learning is a plus
  • Time series analysis is a plus
  • GenAI experience is a plus
  • Natural language processing is a plus
  • Graph analysis is a plus
  • Optimization is a plus
  • Signal and/or image processing is a plus

• Programming experience:
• • Excellent programming skills and experience developing production-quality software.
  • Experience with SQL, Python, PySpark is a MUST (at least, two of them)
  • Real experience in designing and implementing analytical solutions with different programming libraries is a MUST
  • Knowledge of visualization tools and libraries is a plus
  • Experience with deep learning frameworks is a plus
  • Strong business sense to put data in perspective, and extract meaningful conclusions
  • Ability to translate academic results from scientific papers into actionable solutions
  • Experience and knowledge of the financial industry is a plus
  • Natural inclination for sharing findings and engaging in problem-solving with teammates
  • Advanced level of English and Spanish
  • 5+ years of professional experience (data scientist, business intelligence, consulting…)

• MSc/ PhD in a relevant field such as Statistics, Computer Science, Applied Math, or other related subject
• Working knowledge of the financial industry products/services and operations is a plus
• Proficiency in Spanish and English is a MUST

Algoritmos de ML (Clasificación), Análisis de datos, Inteligencia artificial (IA), Pensamiento analítico

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries: Banking

Overview

Conoce más sobre el área: At BBVA we believe that Data is a main asset for achieving market differentiation. Commercial Banking Analytics is in charge of delivering value to the business units by participating in strategic projects that have a strong data component, or by creating actionable insights for optimizing the decision making processes at all levels of the Organization. Commercial Banking is a Global unit based in Madrid and interacts with other global departments and with local units all across BBVA’s footprint (Spain, Mexico, South America and Turkey).

Sobre el puesto: We are looking for a results-oriented, enthusiastic and self-motivated senior data scientist with proven experience in designing and implementing data-driven solutions for business units to achieve tangible impact. You will apply your technical knowledge and programming skills to help business units create, develop, and/or optimize data-driven products, and derive actionable insights from data. You will also use your communication skills to share the results of your analysis with all relevant parties. You will use your project management skills to lead end to end data projects.

• Collaborate with key internal and external stakeholders to gather and understand needs and requirements
• Lead end to end data projects, managing all aspects: relationship with business, engineering, Data and development team
• Lead and guide more junior data scientists to achieve the project and business objectives
• Develop clean, simple and creative code to manipulate large datasets
• Design and implement robust analytic solutions ranging from basic statistical analysis to advanced machine learning / artificial intelligence models to cover the identified needs
• Represent / visualize results in the most appropriate format and present your findings effectively to analytical and non-analytical audiences
• Collaborate with IT teams to convert analytical proof of concepts into productive models

• Solid foundations in areas like (the more the better)
• • Statistical analysis is a MUST
  • Machine learning for classification, regression and unsupervised tasks is a MUST (actual experience required). Reinforcement learning is a plus
  • Time series analysis is a plus
  • GenAI experience is a plus
  • Natural language processing is a plus
  • Graph analysis is a plus
  • Optimization is a plus
  • Signal and/or image processing is a plus

• Programming experience:
• • Excellent programming skills and experience developing production-quality software.
  • Experience with SQL, Python, PySpark is a MUST (at least, two of them)
  • Real experience in designing and implementing analytical solutions with different programming libraries is a MUST
  • Knowledge of visualization tools and libraries is a plus
  • Experience with deep learning frameworks is a plus
  • Strong business sense to put data in perspective, and extract meaningful conclusions
  • Ability to translate academic results from scientific papers into actionable solutions
  • Experience and knowledge of the financial industry is a plus
  • Natural inclination for sharing findings and engaging in problem-solving with teammates
  • Advanced level of English and Spanish
  • 5+ years of professional experience (data scientist, business intelligence, consulting…)

• MSc/ PhD in a relevant field such as Statistics, Computer Science, Applied Math, or other related subject
• Working knowledge of the financial industry products/services and operations is a plus
• Proficiency in Spanish and English is a MUST

Algoritmos de ML (Clasificación), Análisis de datos, Inteligencia artificial (IA), Pensamiento analítico

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries: Banking

Conoce más sobre el área: At BBVA we believe that Data is a main asset for achieving market differentiation. Commercial Banking Analytics is in charge of delivering value to the business units by participating in strategic projects that have a strong data component, or by creating actionable insights for optimizing the decision making processes at all levels of the Organization. Commercial Banking is a Global unit based in Madrid and interacts with other global departments and with local units all across BBVA’s footprint (Spain, Mexico, South America and Turkey).

Sobre el puesto: We are looking for a results-oriented, enthusiastic and self-motivated senior data scientist with proven experience in designing and implementing data-driven solutions for business units to achieve tangible impact. You will apply your technical knowledge and programming skills to help business units create, develop, and/or optimize data-driven products, and derive actionable insights from data. You will also use your communication skills to share the results of your analysis with all relevant parties. You will use your project management skills to lead end to end data projects.

• Collaborate with key internal and external stakeholders to gather and understand needs and requirements
• Lead end to end data projects, managing all aspects: relationship with business, engineering, Data and development team
• Lead and guide more junior data scientists to achieve the project and business objectives
• Develop clean, simple and creative code to manipulate large datasets
• Design and implement robust analytic solutions ranging from basic statistical analysis to advanced machine learning / artificial intelligence models to cover the identified needs
• Represent / visualize results in the most appropriate format and present your findings effectively to analytical and non-analytical audiences
• Collaborate with IT teams to convert analytical proof of concepts into productive models

• Solid foundations in areas like (the more the better)
• • Statistical analysis is a MUST
  • Machine learning for classification, regression and unsupervised tasks is a MUST (actual experience required). Reinforcement learning is a plus
  • Time series analysis is a plus
  • GenAI experience is a plus
  • Natural language processing is a plus
  • Graph analysis is a plus
  • Optimization is a plus
  • Signal and/or image processing is a plus

• Programming experience:
• • Excellent programming skills and experience developing production-quality software.
  • Experience with SQL, Python, PySpark is a MUST (at least, two of them)
  • Real experience in designing and implementing analytical solutions with different programming libraries is a MUST
  • Knowledge of visualization tools and libraries is a plus
  • Experience with deep learning frameworks is a plus
  • Strong business sense to put data in perspective, and extract meaningful conclusions
  • Ability to translate academic results from scientific papers into actionable solutions
  • Experience and knowledge of the financial industry is a plus
  • Natural inclination for sharing findings and engaging in problem-solving with teammates
  • Advanced level of English and Spanish
  • 5+ years of professional experience (data scientist, business intelligence, consulting…)

• MSc/ PhD in a relevant field such as Statistics, Computer Science, Applied Math, or other related subject
• Working knowledge of the financial industry products/services and operations is a plus
• Proficiency in Spanish and English is a MUST

Algoritmos de ML (Clasificación), Análisis de datos, Inteligencia artificial (IA), Pensamiento analítico

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries: Banking

Overview Conoce más sobre el área: At BBVA we believe that Data is a main asset for achieving market differentiation. Commercial Banking Analytics is in charge of delivering value to the business units by participating in strategic projects that have a strong data component, or by creating actionable insights for optimizing the decision making processes at all levels of the Organization. Commercial Banking is a Global unit based in Madrid and interacts with other global departments and with local units all across BBVA’s footprint (Spain, Mexico, South America and Turkey).
Sobre el puesto: We are looking for a results-oriented, enthusiastic and self-motivated senior data scientist with proven experience in designing and implementing data-driven solutions for business units to achieve tangible impact. You will apply your technical knowledge and programming skills to help business units create, develop, and/or optimize data-driven products, and derive actionable insights from data. You will also use your communication skills to share the results of your analysis with all relevant parties. You will use your project management skills to lead end to end data projects.
Responsibilities Collaborate with key internal and external stakeholders to gather and understand needs and requirements
Lead end to end data projects, managing all aspects: relationship with business, engineering, Data and development team
Lead and guide more junior data scientists to achieve the project and business objectives
Develop clean, simple and creative code to manipulate large datasets
Design and implement robust analytic solutions ranging from basic statistical analysis to advanced machine learning / artificial intelligence models to cover the identified needs
Represent / visualize results in the most appropriate format and present your findings effectively to analytical and non-analytical audiences
Collaborate with IT teams to convert analytical proof of concepts into productive models
Required Skills And Experience Solid foundations in areas like (the more the better)
Statistical analysis is a MUST
Machine learning for classification, regression and unsupervised tasks is a MUST (actual experience required). Reinforcement learning is a plus
Time series analysis is a plus
GenAI experience is a plus
Natural language processing is a plus
Graph analysis is a plus
Optimization is a plus
Signal and/or image processing is a plus

Programming experience:
Excellent programming skills and experience developing production-quality software.
Experience with SQL, Python, PySpark is a MUST (at least, two of them)
Real experience in designing and implementing analytical solutions with different programming libraries is a MUST
Knowledge of visualization tools and libraries is a plus
Experience with deep learning frameworks is a plus
Strong business sense to put data in perspective, and extract meaningful conclusions
Ability to translate academic results from scientific papers into actionable solutions
Experience and knowledge of the financial industry is a plus
Natural inclination for sharing findings and engaging in problem-solving with teammates
Advanced level of English and Spanish
5+ years of professional experience (data scientist, business intelligence, consulting.)

Preferred Qualifications MSc/ PhD in a relevant field such as Statistics, Computer Science, Applied Math, or other related subject
Working knowledge of the financial industry products/services and operations is a plus
Proficiency in Spanish and English is a MUST
Habilidades Algoritmos de ML (Clasificación), Análisis de datos, Inteligencia artificial (IA), Pensamiento analítico
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries: Banking

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Tipo de jornada: Jornada completa – Modalidad: Híbrido
Ubicación: Madrid, Comunidad de Madrid, España (Híbrido)
Condiciones:

• 2.000 € anuales para formación continua
• Ayuda alimentaria y gastos de teletrabajo
• 30 días entre vacaciones y días de libre disposición al año
• Jornada intensiva los viernes y dos meses y medio en verano
• Modelo de teletrabajo y horario flexible
• Ayudas para familiares con discapacidad
• Sistema de retribución flexible (transporte, seguro médico de Sanitas, Movistar, etc.)
• Ventajas en productos financieros BBVA (hipotecas, préstamos, tarjetas, seguros, etc.)

Descripción del empleo:
BBVA Technology en Europa busca un/a CIB Application Reliability Project Manager para unirse a su equipo. El puesto está enfocado en asegurar la fiabilidad de las aplicaciones de CIB, gestionando la identificación de obsolescencia, procesos de mejora y la implantación de nuevas iniciativas. El candidato ideal tendrá capacidad de coordinación de equipos y organización de proyectos en un entorno multidisciplinario con metodologías ágiles.

• Garantizar la fiabilidad de las aplicaciones de CIB.
• Identificar obsolescencia en los sistemas y proponer procesos de mejora.
• Actualizar procedimientos operativos y gestionar el inventario de Reliability.
• Identificar KPIs y niveles de fiabilidad para impulsar iniciativas.
• Mantener comunicación con diferentes países y preparar comités y cuadros de mando.
• Gestionar y coordinar equipos, con alto nivel de comunicación.
• Organizar y hacer seguimiento de proyectos.
• Capacidad de gestión y coordinación de equipos.
• Alto nivel de organización y comunicación.
• Experiencia en metodologías ágiles.
• Capacidad para gestionar proyectos e identificar áreas de mejora.

Si buscas un entorno donde tus proyectos impacten en el mundo financiero y te ofrezcan un excelente balance entre trabajo y vida personal, este es tu lugar.