Senior Software Engineer - Automation & Middle Office Transformation

Responsibilities:

• An experienced Software Engineer is required to support a technical transformation within the Middle Office function
• This role involves working closely with analysts to design, build, and enhance systems that improve automation, scalability, and analytical capabilities.
• Automating and scaling processes such as data validation and P&L attribution using modern technologies (e.g. cloud platforms and AI)
• Valuation of financial and physical energy transactions, including linear and non-linear instruments
• Calculation of financial metrics such as Mark-to-Market and Profit & Loss
• Market risk assessment, including Value at Risk (VaR) and related measures
• Statistical estimation of market parameters
• Sourcing, storing, and providing access to market and fundamental data
• Designing data platforms, APIs, and libraries for efficient data access
• Redesigning ETL systems to align with long-term architectural strategy
• This role serves as a key technical contributor to the evolution of the Middle Office technology landscape, bridging business needs and IT capabilities.
• Existing tools range from Excel-based models to Python applications, both on-premise and in the cloud.
• The engineer will help modernise these tools into robust, scalable, and maintainable systems while guiding best practices in technology usage.
• Enhance and modernise existing tools and analytics (Excel, Python) into scalable cloud-based solutions
• Collaborate with business and IT teams to ensure appropriate engineering standards based on system scale and importance
• Develop high-quality, maintainable systems using modern engineering practices (CI/CD, automated testing, deployment pipelines)
• Build a deep understanding of trading workflows and the end-to-end transaction lifecycle
• Provide third-line production support for developed systems
• Align solutions with enterprise architecture, particularly cloud and Microsoft-based technologies
• Support deployment and infrastructure integration in a sustainable manner
• Ensure proper documentation and knowledge sharing across teams
• Contribute to AI-driven initiatives within the team

Requirements:

• Degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of experience in a business-facing development role, ideally within commodity trading (or strong candidates from leading tech firms)
• Proficiency in at least one statically typed language (preferably C#, or Java, Go, Rust)
• Strong focus on writing clean, modular, and maintainable code
• Experience with database design (SQL and NoSQL)
• Strong system design and architecture skills, including:
• Data modelling
• Distributed systems and messaging
• Microservices and service-oriented architecture (REST/RPC)
• Architectural patterns (CQRS, event sourcing, n-tier)
• Solid understanding of design patterns and software engineering principles
• Experience with automated testing (unit, integration, end-to-end, etc.)
• Familiarity with cloud platforms (preferably Azure)
• Strong foundation in data structures and algorithms
• Passion for automation and efficiency
• Experience with Python in quantitative environments
• Knowledge of functional programming concepts
• Experience with containerisation (Docker, Kubernetes)
• Understanding of Middle Office and risk concepts (P&L attribution, VaR, liquidity risk, credit risk)
• Frontend development experience (Angular or React)
• Exposure to DevOps practices and CI/CD pipelines
• Strong attention to detail and design sensibility
• Interest in technical documentation and writing
• Strong ability and willingness to learn new technologies quickly
• Results-driven with a balance between speed and engineering quality
• High ownership and accountability for end-to-end delivery
• Curious, innovative, and proactive
• Able to work independently with a structured approach
• Excellent communication skills

Application:

• Apply to this job posting, and email your CV with the job title as the subject line to: [Confidential Information]