We are seeking an exceptional, high-caliber Senior Software Engineer / Developer to join our Commodities Technology team based in London. Sitting at the intersection of quantitative and high-performance software engineering, this role is dedicated to delivering mission-critical market data infrastructure, services, and analytics feeds for our global Commodities trading desks.
As a senior individual contributor in a front-office environment, you will drive the architecture, design, and implementation of robust, low-latency market data pipelines and services across Commodities asset classes (Energy, Metals, Agriculture) with cross-asset touchpoints in FX, Rates, and Equities. You will partner directly with Front Office Traders, Model Quantitative Analysis (MQA / Quants), Market Risk, and Operations teams to build scalable solutions and integrate next-generation Generative AI and Agentic AI workflows into the development and trading lifecycle.
Key Responsibilities
1. System Engineering & Architecture
- Architect, build, and optimize scalable, resilient, and high-throughput market data engines, curve builders, pricing integration layers, and real-time distribution services.
- Design and implement clean, modular APIs and event-driven architectures leveraging modern design patterns across Java, Python, or .NET (C#) ecosystems.
- Ensure ultra-reliable delivery of tick, end-of-day, and historical market data feeds to quantitative pricing libraries and trading applications.
2. Front Office & Desk Alignment
- Act as a direct technical partner to Front Office trading desks, understanding business drivers and rapidly translating complex trading/pricing requirements into production-ready software.
- Collaborate closely with MQA (Quantitative Analysts) to integrate pricing models, risk calculators, and real-time analytics.
3. AI & Innovation Driver
- Champion the adoption of Generative AI and Agentic AI frameworks within the software development lifecycle (e.g., automated code reviews, synthesis, workflow orchestration, agent-driven monitoring/troubleshooting).
- Prototype and evaluate agentic workflows for automated anomaly detection, market data quality validation, and intelligent developer tooling.
4. Technical Leadership & Excellence
- Drive engineering best practices: test-driven development (TDD), CI/CD pipelines, containerization, comprehensive observability, and low-latency performance tuning.
- Take end-to-end ownership of delivery—from requirement analysis and technical design to deployment, production monitoring, and support.
Required Skills & Qualifications
Technical Competencies
- Core Programming: Advanced proficiency in at least one primary backend language:
- Java (Modern Java, Spring Boot, concurrency, low-latency tuning, GC optimization), OR
- Python (Modern Python, asynchronous programming, NumPy/Pandas, FastAPI), OR
- .NET / C# (Modern .NET Core, multi-threading, asynchronous I/O, memory profiling).
- Distributed Systems & Messaging: Strong experience with enterprise messaging and streaming frameworks (e.g., Apache Kafka, RabbitMQ, Solace, ZeroMQ, or gRPC).
- Data Storage & Analytics: Proficiency in relational databases (PostgreSQL, Oracle, SQL Server) and time-series/caching technologies (e.g., Redis, InfluxDB, KDB+/q, or similar).
- Modern DevOps & Cloud: Practical experience with Git, CI/CD automation (e.g., GitHub , Tekton, Jenkins), Docker/Kubernetes/OpenShift, and Linux operating systems.
- AI Tooling & Automation: Demonstrated familiarity with LLMs, GenAI tools, and Agentic frameworks (e.g., LangChain, LlamaIndex, MCP tools, automated coding agents) applied to engineering productivity or domain solutions.
Domain & Industry Experience
- Financial Services Experience: Proven track record working within a Tier-1 investment bank, hedge fund, or major financial institution.
- Asset Class Expertise: Strong domain knowledge in Commodities (Power, Gas, Oil, Metals, Agriculture) or adjacent cross-asset products (FX, Rates, Equities).
- Market Data Fundamentals: Understanding of real-time market data structures, tick data, exchange connectivity, forward curves, volatilities, and reference data feeds.
Mindset & Behavioral Attributes
- Self-Driven & High Ownership: A true "go-getter" who takes proactive ownership of complex engineering problems with minimal supervision.
- Stakeholder Management: Exceptional communication skills with the ability to converse fluently with traders, MQA, risk managers, and technology leaders.
- Problem-Solving & Agility: Comfortable operating in a fast-paced, high-stakes Front Office environment where requirements evolve rapidly.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
What we can offer you
We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
- Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
- A discretional annual performance related bonus
- Private medical insurance packages to suit your personal circumstances
- Employee Assistance Program
- Pension Plan
- Paid Parental Leave
- Special discounts for employees, family, and friends
- Access to an array of learning and development resources
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
#LI-KK5
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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