DATA SCIENTIST CONTROL ASSOCIATE

BBVA; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented quantitative analyst to join their Global Markets Risk Unit. This role focuses on developing mathematical models and tools that support risk measurement and model quality assessment. You'll collaborate closely with risk managers and front office teams to ensure methodologies align with regulations and best practices. The ideal candidate will have a strong analytical background, a passion for programming, and experience in financial risk management. Join a dynamic team and contribute to innovative risk processes in a collaborative environment.

Qualifications

• 5+ years of experience in financial risk management and quantitative analysis.
• Strong programming skills in C++, C#, or Python.

Responsibilities

• Develop mathematical models for risk measurement and model quality assessment.
• Collaborate with teams to ensure compliance with risk management practices.

Skills

Mathematical Modeling

Risk Management

Programming (C++, C#, Python)

Machine Learning

Financial Markets Knowledge

Education

University Degree in Mathematics

Master’s Degree in Quantitative Finance

Job description

Excited to grow your career?

BBVA is a global company with over 160 years of history, operating in more than 25 countries and serving over 80 million customers. We employ more than 121,000 professionals in multidisciplinary teams including financiers, legal experts, data scientists, developers, engineers, and designers.

The main responsibilities of the Global Markets Risk Unit Area (GMRU) include fair value valuation, independent price verification, calculation of valuation adjustments, control of market and credit risks, calculation of economic capital for global market positions, and quality assessment of front office models—all in compliance with regulatory frameworks.

The GMRU Advanced Analytics Team collaborates with other quantitative and analytics teams across the front office and risk areas to develop methodologies and tools for risk processes and regulatory projects. The team comprises quantitative analysts and data scientists.

About the job:

Description:

Your primary responsibility is to develop mathematical models and tools for the Global Markets Risk Unit, supporting IPV, AVAs, risk measurement, and model quality assessment. You will work closely with risk managers to align methodologies with risk management practices and regulations, and collaborate with front office teams to ensure model quality and compliance.

You will also ensure that all code development adheres to programming standards and testing frameworks, facilitating sharing and reliability across teams.

Qualifications:

The ideal candidate holds a university degree in mathematics, physics, engineering, actuarial sciences, economics (quantitative focus), or related fields. A Master’s degree in quantitative finance, big data, or similar, along with at least 5 years of relevant experience, is highly valued.

Knowledge of financial markets, derivatives valuation, risk management, and programming languages such as C++, C#, or Python is desirable. Familiarity with machine learning techniques is a plus. Proficiency in English at B2 level or higher is required.

About You:

You have a strong analytical background and a passion for applying mathematical modeling in practical environments, especially in financial risk management. You enjoy programming, communicate effectively across diverse teams, and are eager to collaborate and learn.

Skills:

• Customer Targeting
• Empathy
• Ethics
• Innovation
• Proactive Thinking