Software Engineer
Role details
Job location
Tech stack
Job description
We are looking for a med-level software engineer to join our team. In this role, you will contribute to building and enhancing systems that power large-scale optimisation runs used by global financial institutions. You'll collaborate with colleagues in Product Development and Financial Engineering to deliver reliable, high-quality solutions, while continuing to develop your expertise in infrastructure systems and software engineering.
You will validate and integrate financial data into the optimisation algorithms and ensure results are delivered back to clients in a secure, reliable, and timely way. You will also develop analytics and feedback capabilities that help both our Product management team and clients better understand outcomes and identify ways to improve future optimisation runs through adjustments to inputs, parameters, and workflows.
Our technology stack is centred on Python on the backend, with extensive use of AWS services, and React on the frontend. Data are managed across PostgreSQL (RDS), Redshift/Snowflake, and S3.
Examples of recent projects include:
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Expanding the client portal and data pipelines with new services and products
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Setting up new connection to trade booking systems and APIs to trade and manage client risk exposure
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Setting up a new interactive system - leveraging frontend and backend systems - to simplify client constraints definitions
Key Responsibilities
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Design, build, and deliver high-quality software solutions both independently and as part of a wider engineering team
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Develop APIs and backend services for scenario generation and integration with quantitative libraries
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Evaluate and improve the performance, effectiveness, and reliability of system components
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Validate and process client data accurately and securely
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Identify and implement opportunities to automate processes and workflows
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Generate structured reports and formatted output files for delivery to clients and third-party APIs
Requirements
- 3-6 years of experience in software engineering, with strong Python development skills
· Experience working with trade booking, middle-office, or post-trade systems, and familiarity with standards such as MarkitWire, FpML, or FIX protocol
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Familiarity building data-intensive applications, including use of PyData stack
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Strong problem-solving, communication, and collaboration skills
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Familiarity with Unix/Linux, Git, and SQL
Desirable
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Knowledge of financial derivatives, clearing and the basics of margin and capital regulatory requirements
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Exposure to AI-assisted tools or workflow automation in a secure, responsible engineering environment
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Experience across the full software development lifecycle, and understanding of software design principles (including SOLID), clean code practices, and object-oriented programming
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Affinity with Java and/or C++ programming
Working With Us
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You'll work in a collaborative, supportive team where knowledge sharing is encouraged
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You'll have opportunities to learn and deepen your expertise in both quantitative methods and software engineering
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You'll be involved in solving real-world problems with tangible impact on financial markets
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We value continuous improvement-both in our systems and in how we work together