Senior Functional Developer

As a Senior Functional Developer, you will work alongside model developers and Front Office quants to turn new proxy model requirements into production-quality software. You will prototype and validate quantitative models in Python, then implement robust, cloud-native Java microservices that faithfully reflect the underlying mathematics. You will own the lifecycle from model discussion through deployment and support, and help shape the architecture of new components.

SYMPHONI HR is partnering with a leading global financial services organisation in the banking sector. The client is known for its scale, its deep expertise in financial markets and its collaborative, engineering-driven culture. This role sits at the intersection of quantitative finance and software engineering.

Responsibilities

• Work closely with model developers and Front Office quants to understand proxy model requirements and translate quantitative concepts into implementable solutions.
• Design, develop and support quantitative models, particularly those used to derive or proxy market data.
• Develop prototype implementations to demonstrate and validate new models before production rollout.
• Translate validated prototypes and quantitative algorithms into production-quality Java and Spring Boot microservices.
• Design and maintain automated unit, integration and regression tests, including tests that validate numerical results.
• Create clear technical and quantitative documentation covering assumptions, inputs, calculations and limitations.
• Contribute to CI/CD and operational readiness using Azure DevOps, Git, Maven, Docker, Kubernetes/OpenShift and Linux.
• Influence technology choices and contribute to the architecture and design of new services.
• Identify opportunities to improve the maintainability, reliability, performance and observability of services.
• Share knowledge and contribute to a collaborative engineering and quantitative culture.

Requirements

• 6 to 13 years of strong software engineering experience with Java and Spring Boot, including production-quality backend services.
• Strong hands-on experience with Python for implementing, analysing and validating quantitative models.
• Strong mathematical and analytical background, with the ability to translate advanced formulas into working software.
• Good understanding of algorithms, data structures, object-oriented design and software engineering principles.
• Experience with automated testing, including validation of numerical results between prototype and production implementations.
• Experience with relational databases and SQL, plus Git, Maven, Azure DevOps and Confluence.
• Experience with Linux and containerised, cloud-native environments such as Docker and Kubernetes/OpenShift.
• Excellent written and spoken English and the ability to communicate between quantitative and technical stakeholders.
• Preferred: knowledge of financial markets, pricing, valuation or risk models, numerical methods, time series or optimisation.
• Preferred: experience as a Quant Developer or Quant Engineer working closely with quantitative teams.

Skills

Java, Spring Boot, Microservices, Python, SQL, Git, Maven, Docker, Kubernetes/OpenShift, Azure DevOps, Confluence, Linux, Financial Markets, Numerical methods, Time series, Optimization, Functional programming, Rest API Development, Distributed Computing