Senior Full Stack Quantitative Developer

Certain Advantage; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services firm based in London seeks a Senior Full Stack Quantitative Developer. This hybrid position focuses on developing secure applications for commodities trading using Python and Azure technologies. Ideal candidates should have extensive experience in Python and knowledge of cloud technologies. The role offers an exciting opportunity within trading sectors, promoting professional growth and innovative solution development.

Qualifications

• Extensive experience in Python application development within trading or finance.
• Proficiency with major Python numerical libraries.
• Experience with a strongly typed programming language.
• Strong background in Azure cloud development.
• Solid understanding of data engineering tools.
• Advanced mathematics and risk analysis skills.
• Domain expertise in derivatives for energy commodities.

Responsibilities

• Design and maintain secure, scalable applications for commodities trading.
• Leverage proficiency in Python and numerical libraries.
• Implement DevOps best practices including Infrastructure as code.
• Collaborate to translate business requirements into software products.

Skills

Python application development

Experience with numerical libraries (Pandas, NumPy, SciPy)

Strongly typed programming language (C#, C++, Rust, Java)

Azure cloud application development

Data engineering tools (Databricks, PySpark, Kafka)

Advanced mathematics and quantitative analysis

Domain expertise in energy commodities

Job description

Senior Full Stack Quantitative Developer

Certain Advantage are hiring for a Senior Full Stack Quantitative Developer based in London on a hybrid basis.

This role is on an initial contract till the end of the year with a potential to be extended for a further 6 months.

Key Responsibilities

• Design, develop, and maintain secure, scalable, and maintainable applications using Python and Azure cloud technologies for commodities trading solutions.
• Leverage strong proficiency in Python, including use of numerical and scientific libraries such as Pandas, NumPy, SciPy etc.
• Utilize a second strongly typed programming language (e.g., C#, C++, Rust, or Java) as needed.
• Implement application architecture and DevOps best practices, including “Infrastructure as code”, Kubernetes, Docker, and automation testing frameworks.
• Apply software design patterns to ensure robust, flexible, and future-proof solutions.
• Collaborate with quant developers, analysts, and traders to translate business and quantitative requirements into technical specifications and software products.

Mandatory Skills

• Extensive experience in Python application development, especially within trading, finance, or quantitative domains.
• Proficiency with major Python numerical libraries (e.g., pandas, numpy, scipy, stats).
• Experience with at least one additional strongly typed programming language (C#, C++, Rust, Java, etc.).
• Strong background in Azure cloud application development, including security, observability, storage, and database resources.
• Solid understanding of data engineering tools and technologies (Databricks, PySpark, Lakehouses, Kafka).
• Advanced mathematics and quantitative analysis skills, ideally with hands‑on experience in probabilistic modeling and the valuation of financial derivatives.
• Domain expertise in derivatives within energy commodities—especially LNG, Gas, or Power Trading.

Does this sound like your next career move? Apply today!

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