Quantitative Developer- Trading Desk Python

Asset Class: Fixed Income

Location: Central London

Employment Type: Full-Time

Client: Hedge Fund

TC: Base + Bonus (Advertised is base salary only)

A leading investment firm is seeking a Quantitative Developer to join a Fixed Income trading team, partnering directly with Portfolio Managers, Traders, and Researchers to build and enhance the technology platform supporting investment decision-making and trading activities.

This is a highly technical software engineering-focused role.

The successful candidate will spend the majority of their time designing, developing, and maintaining Python-based applications, analytics platforms, data pipelines, and trading tools rather than conducting quantitative research or model development.

Key Responsibilities

• Design, develop, and maintain Python applications supporting Fixed Income Portfolio Managers and Traders.
• Build scalable analytics platforms, data services, and workflow automation tools used across the investment process.
• Develop and enhance market data, reference data, pricing, risk, and portfolio management infrastructure.
• Engineer robust data pipelines for large-scale financial datasets, ensuring high levels of data quality and reliability.
• Create tools and applications that improve trading workflows, portfolio monitoring, risk analysis, and operational efficiency.
• Partner closely with investment professionals to understand requirements and translate them into production-grade technology solutions.
• Improve system performance, scalability, monitoring, and operational resilience across the trading technology stack.
• Contribute to software architecture decisions, development standards, and engineering best practices.
• Support the deployment and ongoing maintenance of business-critical applications in a production environment.

Required Experience

• Strong commercial software engineering experience with Python as a primary development language.
• Experience building enterprise‑grade applications, data platforms, APIs, or distributed systems within financial services or other highly technical environments.
• Strong understanding of software engineering principles, including object‑oriented design, testing, version control, and system architecture.
• Experience working with large datasets and developing scalable data‑processing solutions.
• Strong SQL skills and experience working with relational databases.
• Familiarity with cloud technologies, containerisation, CI/CD pipelines, and modern development practices.
• Experience gathering requirements directly from business users and delivering technology solutions in an agile environment.

Preferred Experience

• Exposure to Fixed Income products including Rates, Credit, Government Bonds, Corporate Bonds, Swaps, Futures, or related asset classes.
• Experience supporting Portfolio Managers, Traders, or Investment Teams within a hedge fund, asset manager, investment bank, or proprietary trading firm.
• Familiarity with market data platforms and financial data vendors.
• Experience with distributed computing, workflow orchestration, or real‑time data systems.

Candidate Profile

• This opportunity is best suited to a technically strong Python developer who enjoys building software and solving engineering challenges within a front‑office investment environment. While an understanding of Fixed Income markets is beneficial, the emphasis is on software development, platform engineering, and delivering robust technology solutions that directly support investment professionals.

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