GLOBAL MARKET RISK UNIT QUANTITATIVE MANAGER - CIB

BBVA; Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

BBVA busca un Data Scientist Manager para unirse al equipo Global Markets Risk Unit en Madrid. Liderarás proyectos de modelización cuantitativa y desarrollo de herramientas para medir riesgos de mercado y contraparte, trabajando con equipos transversales y ejecutivos.

Se valorará sólida experiencia en finanzas cuantitativas, ML y desarrollo de software, con capacidad de comunicar resultados complejos y guiar a analistas junior en un entorno ágil.

Formación

• 6+ years de experiencia en análisis de riesgos cuantitativos.
• Experiencia en modelización de riesgos y XVA.
• Conocimiento de marcos regulatorios (ECB, EBA, FRTB).
• Capacidad de comunicar resultados complejos a stakeholders.
• Experiencia en desarrollo de software y pruebas (CI/CD, pruebas unitarias).

Responsabilidades

• Desarrollo de modelos y metodologías para medir y gestionar riesgos de mercado y de contraparte.
• Cobertura de métricas de riesgo (VaR, Stressed VaR, FRTB) y capital económico/regulatorio.
• Colaborar con Risk Managers y equipos de Front Office para validar modelos.
• Asegurar arquitectura de software y prácticas de testing (CI/CD, pruebas unitarias).
• Liderar flujos de trabajo técnicos y mentoring a analistas y data scientists.

Conocimientos

Quantitative risk

Python

C++

Data science

Machine learning

CI/CD

Docker

Communication with stakeholders

Educación

Bachelor's or Master’s in Mathematics/Physics/Quantitative Finance

Master/PhD in Quantitative Finance or AI

Herramientas

Git

CI/CD pipelines

Docker

PyTorch/TensorFlow

Descripción del empleo

¿Te entusiasmo hacer crecer tu carrera?

BBVA es una compañía global con más de 160 años de historia que opera en más de 25 países donde damos servicio a más de 80 millones de clientes. Somos más de 121,000 profesionales trabajando en equipos multidisciplinares con perfiles tan diversos como financieros, expertos legales, científicos de datos, desarrolladores, ingenieros y diseñadores.

Conoce más sobre el área

The Global Markets Risk Unit (GMRU) area is responsible for the measurement, control, and management of market and counterparty credit risks, valuation adjustments (XVA), calculation of economic capital across BBVA’s global market positions, as well as fair value valuation, independent price verification, and quality assessment of Front Office quantitative models. All these activities are performed in accordance with applicable international regulatory frameworks and sound risk management practices. In close coordination with quantitative analytics teams located in Front Office and other risk departments, the GMRU Advanced Analytics Team develops the quantitative methodologies and tools required to execute GMRU core processes and leads key projects related to regulatory change. The team brings together quantitative analysts and data scientists to drive innovation in risk modeling.

About You

You hold a strong quantitative and analytical background with a keen interest in mathematical modeling within practical financial environments. You are passionate about applying data science, quantitative finance, and machine learning to financial risk management. You enjoy programming, building scalable risk software, and working in cross-functional environments. You possess excellent communication skills to interact effectively with diverse technical and executive stakeholders, and you excel as a collaborative team player.

As a Data Scientist Manager, your primary responsibilities will include:

• Model Development & Methodology: Design, develop, and implement advanced mathematical models, data-driven methodologies, and quantitative tools for measuring and managing market and counterparty credit risks associated with Global Markets products.
• Risk Scope & Metrics: Drive quantitative initiatives covering market risk metrics (VaR, Stressed VaR, FRTB framework), counterparty credit risk measurement (IMM, PFE), valuation adjustments (XVA), and economic and regulatory capital calculations.
• Stakeholder Collaboration: Partner closely with Risk Managers within the Global Risk Management Unit to ensure alignment with regulatory frameworks (ECB, EBA, EBA/FRTB) and sound risk practices. Collaborate with Front Office quantitative teams to validate and align valuation models.
• Software Architecture & Testing: Enforce code development policies, software architecture standards, and rigorous testing frameworks (CI/CD, unit testing) to ensure robust, maintainable, and reusable codebase across teams.
• Leadership & Project Management: Lead technical workstreams within regulatory transformation projects, mentoring junior quantitative analysts and data scientists.

Qualifications & Requirements

Education

• Required: University Degree (Bachelor's or Master's) in Mathematics, Physics, Quantitative Engineering, Actuarial Sciences, Quantitative Economics, or a related STEM field.
• Highly Valued: Master’s degree or Ph.D. in Quantitative Finance, Financial Engineering, Artificial Intelligence, Big Data, or Applied Mathematics.

Professional Experience

• Minimum 6+ years of professional experience in quantitative risk analysis, financial engineering, or data science applied to banking, investment banking, or capital markets.
• Proven track record in market risk modeling, counterparty credit risk, XVA, or pricing derivatives within investment banking / corporate banking units.

Key Skills

• Financial & Risk Expertise: Solid understanding of financial markets, derivative pricing (fixed income, credit, inflation), risk management concepts (market and counterparty credit risk related), and regulatory risk frameworks (FRTB, IMM).
• Programming & Tech Stack: Advanced proficiency in at least one object-oriented or data programming language: Python (NumPy, SciPy, Pandas, PyTorch/TensorFlow), C++, or C#.
• Data Science & ML: Practical experience with machine learning techniques applied to quantitative finance (e.g., anomaly detection, calibration optimization).
• Software Engineering: Familiarity with Git version control, continuous integration/continuous delivery (CI/CD) pipelines and containerization (Docker).

Languages

• English: B2 (Advanced/Fluent) or higher (written and spoken), as this position operates in a global environment with international stakeholders.

Habilidades

• Empatía, Ética, Innovación, Orientación al cliente, Pensamiento proactivo