About the role
¿Te entusiasma 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 Quantitative & Business Solutions CoE develops and applies advanced analytics and algorithmic trading strategies to optimize trading performance, enhance data-driven decision-making, and support robust revenue generation across global markets. Fully integrated into our FX Trading, Transactional, and Sales business units, this center of excellence sits at the absolute intersection of quantitative finance, data science, and electronic trading.
Sobre el puesto
Role Purpose & Description:
We are seeking a highly talented Data Scientist Senior Analyst to help design, build, and deploy our next-generation analytics, pricing intelligence, and algorithmic tools. In this role, you will play a pivotal part in enhancing the end-to-end value chain of our Foreign Exchange (FX) business globally. You will turn massive volumes of real-time market data into high-impact, production-ready trading and pricing models.
Key Responsibilities:
Transactional & Sales Analytics: Design and implement sophisticated client segmentation models, automated recommendation engines, and dynamic pricing frameworks. Collaborate closely with the FX Sales team to uncover cross-selling opportunities, mitigate churn risk, and optimize bid-ask spreads aligned with liquidity and corporate risk appetite.
Algorithmic Trading & Pricing Optimization: Build, back-test, and deploy intelligent algorithms and predictive models to support automated execution and market-making strategies across FX products including Spot, Forwards, and Swaps. Conduct quantitative research on massive datasets of historical and real-time tick data.
Global Collaboration & Production Engineering: Architect and deliver robust, low-latency analytical models directly into production-ready engines. Maintain continuous and proactive communication with data science and quant teams across geographies to align global execution strategies.
Tech Stack Ecosystem: Run and maintain quantitative engines leveraging Python and PySpark within Amazon SageMaker, and serve actionable insights via state-of-the-art BI and data streaming platforms such as KX Insights and DOMO.
What are we looking for?
Requirements & Qualifications:
Education: Master’s or Bachelor's degree in Physics, Mathematics, Engineering, Statistics, Computer Science, or a deeply quantitative field.
Professional Experience: 2–5 years of proven experience as a Data Scientist, Quantitative Researcher, or Algorithmic Trading Developer within financial markets. Direct exposure to Capital Markets/FX structures or highly rigorous quantitative environments is required.
Quantitative Skills: Strong mathematical foundations with valuable knowledge of stochastic processes, numerical methods, optimization, and machine learning architectures.
Financial Knowledge: Solid understanding of financial markets and derivatives. Practical experience with FX market microstructure and electronic trading platforms (ECNs) is highly valued.
Technical Proficiency: Advanced mastery of Python, PySpark, and SQL. Hands-on experience with Machine Learning libraries (TensorFlow, PyTorch, scikit-learn) and cloud infrastructure within Amazon SageMaker. Prior experience with Q/KDB+ for high-frequency time-series analytics, KX Insights, and DOMO is a strong competitive advantage.
Languages: Strong command of English and Spanish.
Core Soft Skills: A strong commitment to delivery and the resilience required to thrive under pressure in a fast-paced trading floor ecosystem.
Habilidades:
Algoritmos, Análisis avanzado, Aprendizaje automático (ML), Comercio de mercado de divisas (FX), Estrategias de trading algorítmico, Gestión de precios, Kdb+, Trading algorítmicoAplyr's read
BBVA is a leading financial institution in Spain, known for its comprehensive banking services and diverse career opportunities across various regions.
What's promising
- •BBVA is a top player in Spain's financial sector, ensuring stability.
- •The company offers diverse roles, from digital advisory to risk management.
- •BBVA's global presence provides opportunities for international career growth.
What to watch
- •Limited public information about BBVA's work-life balance initiatives.
- •Potential for high-pressure environments due to the competitive banking sector.
- •Frequent restructuring may lead to job insecurity for some roles.
Why Banco Bilbao Vizcaya Argentaria
- •BBVA is pioneering digital banking solutions in Spain.
- •The bank's Openpay platform enhances its fintech capabilities.
- •BBVA's strong focus on sustainability sets it apart in the financial industry.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Banco Bilbao Vizcaya Argentaria
BBVA en España is a leading financial institution offering a wide range of banking services including retail banking, corporate banking, and investment solutions.
