Senior AI Quant

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 121000 professionals working in multidisciplinary teams with profiles as diverse as financiers legal experts data scientists developers engineers and designers.

Advanced Analytics & Algorithmic Trading is the team of Data Scientists within C&IB Global Markets focused on developing trading algorithms business intelligence tools and advanced analytics solutions for trading and sales teams. The team blends strong technical expertise with a deep understanding of financial markets to deliver innovative high-impact solutions.

About the job:

We are seeking an exceptional Senior AI Quant (VP/ED) to lead research and prototyping of advanced AI solutions within Global Markets with an initial focus on risk management for equity structured products. This is a strategic leadership role driving the next generation of modeling capabilities that will reshape how Global Markets prices hedges and manages risk.

This role sits embedded within Global Markets to ensure strong connectivity with the business units. You will lead the research streamfocused on ideation prototyping and validationwhile partnering closely with the execution teams who industrialize the most promising AI models. Both teams report jointly to the Head of the Advanced Analytics & Algorithmic Trading team ensuring alignment between research excellence and business impact.

Key Responsibilities

• Develop AI-driven predictive models for market risk factors relevant to structured products (volatility surfaces correlation skew dynamics liquidity indicators etc.).

• Prototype optimization models for dynamic hedging incorporating RL deep learning and advanced numerical techniques.

• Research efficient AI-based estimators for pricing and risk metrics (Greeks scenario computations exposures) including neural approximators and surrogate models

• Explore reasoning models and agent-based architectures capable of supporting trading decision workflows.
  

• Investigate fine-tuning and alignment of large language models (LLMs) to act as safe reliable trading agents or risk copilots.
  

• Work daily with traders structurers data scientists and quants to ensure research topics are aligned with business needs.
  

• Quickly validate prototypes with end users then collaborate with the execution team to scale and deploy successful concepts.
  

• Present research roadmap insights and technical results to senior market stakeholders.
  

Qualifications

Academic & Technical Background

• Masters or PhD in Physics Mathematics Engineering Computer Science Statistics or a related quantitative field.
  

• 712 years of experience in quantitative research systematic trading financial AI or pricing/risk model development in financial markets.
  

• Deep knowledge of derivatives and financial markets ideally with direct exposure to equity structured products.
  

• Strong foundations in:
  

  • Stochastic processes
    

  • Numerical PDE/SDE methods
    

  • Optimization and optimal control
    

  • Machine learning / deep learning (PyTorch TensorFlow JAX scikit-learn)
    

  • Reinforcement learning and sequential decision models
    

  • Agentic AI frameworks and LLM fine-tuning
    

Programming Skills

• Expert-level Python is mandatory.
  

• Experience with KDB/Q C Java or GPU acceleration is a plus.
  

• Familiarity with modern ML toolchains
  

Soft Skills & Cultural Fit

• Strong ability to operate in a front-office-adjacent high-pressure environment with tight feedback loops.
  

• Entrepreneurial mindset able to independently identify high-impact AI opportunities.
  

• Excellent communication skills: able to interface with traders yet also produce rigorous research output.
  

• Fluent English required; Spanish welcome but optional.
  

• Passion for cutting-edge AI innovation and its safe application in financial markets.
  

What We Offer

• A pivotal VP/ED leadership role shaping the future of AI in Global Markets.
  

• A high-energy environment where research rapidly becomes production.
  

• The opportunity to build novel AI models that directly influence pricing hedging and risk management at scale.
  

• A highly collaborative team combining quantitative finance advanced analytics machine learning research and algorithmic trading.

Skills: