Front Office Quant Developer (Counterparty Credit Risk / XVA) | Long-term Project | Banking
Are you passionate about quantitative finance, risk modelling, and high-performance software development? We’re looking for an experienced Front Office Quant Developer to join one of Europe’s leading banking institutions. In this role, you’ll help design and enhance cutting-edge Counterparty Credit Risk (CCR) and XVA models that support trading, pricing, and regulatory risk management across global financial markets.
You’ll become part of a highly skilled quantitative team responsible for the full lifecycle of pricing and risk models, working at the intersection of quantitative research, software engineering, and front-office trading.
You will contribute to the continuous evolution of the bank’s in-house pricing and risk platform by developing robust, scalable, and high-performance quantitative models. Your work will directly support Front Office trading activities while ensuring accurate exposure and risk calculations for regulatory and business purposes.
As a Front Office Quant Developer, you are responsible for designing, developing, implementing, and supporting Counterparty Credit Risk models used across the trading organisation.
You will:
Design and enhance Counterparty Credit Risk models used for Potential Future Exposure (PFE) and Exposure at Default (EAD) calculations throughout the complete model lifecycle.
Develop quantitative models from initial design and prototyping through production implementation in Front Office systems.
Contribute to a high-performance computing platform using C++ and CUDA for derivatives pricing and risk management.
Collaborate closely with model integration and software engineering teams using Agile Scrum methodologies.
Work alongside quantitative analysts, traders, and risk managers to deliver innovative pricing and risk solutions.
Support the ongoing enhancement of derivatives pricing models, Monte Carlo simulation frameworks, and risk factor models.
Promote software engineering best practices including automated testing, continuous integration, and continuous delivery.
You combine strong quantitative expertise with excellent software engineering skills and enjoy solving complex financial modelling challenges.
Experience
Master’s degree or PhD in Mathematics, Physics, Statistics, Econometrics, Computer Science, Engineering, or a related quantitative discipline.
Minimum 5 years of experience developing quantitative models within Counterparty Credit Risk, XVA, or Market Risk.
Hands-on experience with Monte Carlo simulation, risk factor modelling, and derivatives pricing.
Experience in one or more asset classes including Interest Rates, FX, Commodities, Credit, or Equity derivatives.
Strong programming experience in Python and/or C++ within Front Office quantitative environments.
Experience with modern software development practices including Test-Driven Development (TDD), Continuous Integration (CI/CD), version control (Git), Docker, and preferably Azure.
Excellent communication skills with the ability to explain complex quantitative concepts to both technical and non-technical stakeholders.
Fluent in English, both written and spoken.
Since 2000, Levy Professionals has been connecting highly skilled professionals with leading organisations across Europe. From our offices in Amsterdam and London, we support global enterprises with expert talent in IT, Engineering, Data, Finance, and Digital transformation. With more than 1,700 successful placements and over 250 professionals currently working on client projects across 14 countries, we pride ourselves on building lasting relationships and delivering exceptional talent solutions. Our people-first approach remains at the heart of everything we do.
