Quant Developer

Our client operates within the financial services sector, specialising in quantitative modelling and risk management solutions. They focus on developing sophisticated Python-based libraries and production services that support trading and risk functions. The organisation values technical excellence, cross-functional collaboration, and the delivery of robust, scalable solutions that serve critical business needs within financial markets.

• Advanced Python 3.x programming skills with deep numpy and pandas knowledge
• Strong software engineering background including object-oriented design and design patterns
• Comprehensive understanding of distributed systems architecture
• Deep knowledge of algorithms and data structures
• Proven ability to make sound technical decisions on solution design
• Capability to work independently with minimal supervision
• Excellent written and spoken English communication skills

Nice to have:

• Experience in financial markets, derivatives or banking
• Project delivery experience, particularly using Agile methodologies
• Knowledge of REST API, gRPC, Apache Beam, Spark, Docker, or Kubernetes
• Experience with other object-oriented languages such as C#, C++, or Java

• Transform quantitative models into production-ready Python services
• Collaborate with quantitative modellers and front office teams in financial markets
• Work with modern technologies including Docker, Kubernetes, and Apache Beam
• Operate independently with minimal supervision in a technical environment
• Develop and maintain quantitative libraries using Python 3.x
• Design software architecture for distributed systems and services
• Collaborate with quantitative modellers to understand requirements and deliver solutions
• Work with IT teams to ensure seamless integration and deployment
• Partner with front office users to create practical, usable solutions
• Make technical decisions on solution design and implementation approaches
• Deliver high-quality code following object-oriented design principles