FO EQ/FI Quantitative Developer/Analyst

BBVA · LONDON · United Kingdom

Senior Quantitative Developer in BBVA Global Markets, focused on derivative modeling and digitalization. Lead front‑office quantitative teams, design C++ models, and push performance via HPC and cloud.

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Senior Quantitative Developer in BBVA Global Markets, focused on derivative modeling and digitalization.

Lead front‑office quantitative teams, design C++ models, and push performance via HPC and cloud.

Excited to grow your career?

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.

GLOBAL MARKETS - QUANT. & BUSINESS SOLUTIONS

Quantitative & Business Solutions (QBS) is a specialized unit within BBVA CIB – Global Markets, dedicated to providing investment banking solutions to clients worldwide. Our team operates across multiple geographies and specializes in various asset classes. We seek experienced professionals with a strong mathematical and technological background to join our team.

About you:

About the job:

Main functions:

Required skills and experience

Strong background in C++ programming , including object-oriented programming, STL, templates, and best practices. A minimum of 5 years of experience is required.

At least 5 years in a similar role (Front Office Quantitative Team), developing trading tools such as pricers, models, sensitivities, and reports, while actively interacting with trading desks.

Expertise in financial mathematics and derivative valuation, specializing in Interest Rate Models or Equity Models .

Knowledge of Credit, FX and Inflation Derivatives Valuation will be valued.

Experience in multiplatform development (Windows-Visual Studio, Linux), continuous integration, and the software development lifecycle (CI/CD, Jenkins, unit testing, regression testing).

Strong background in mathematics and problem-solving .

Knowledge and proven experience in some  of these areas of expertise:

Boost, Conan, Google Protocol Buffer, gRPC

Experience with cloud technologies and related frameworks (AWS, Azure).

Version control and containerization: Git, Docker, Web services: SOAP or similar technologies.

Experience with the Murex platform and Murex Flex API.

Python programming.

Computational optimization using distributed computing, GPUs, vectorization, or other high-performance computing (HPC) techniques.

Experience integrating trading tools with vendor solutions.

Education :

MSc in Math, Physics or Engineering (STEM profiles)

MSc  in Quantitative Finance is a plus

PhD in a technical fields or Quantitative Finance is highly valued

Bonus: CQF certification will be highly valuable.

Skills:

Customer Targeting, Empathy, Ethics, Innovation, Proactive Thinking

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