The Role 

As a Senior Engineer within the AHL OMS team you’ll be building the Order Management System underpinning the systematic investment process for AHL. This is an opportunity to work closely with our trading desk, quant strategy teams, and operations to deliver an Order Management System that is flexible, robust, and performant to safely trade millions of orders annually and enable the development of new investment strategies. You’ll have direct exposure to a wide set of asset classes covering both listed and OTC markets, building deep understanding in how they’re executed and booked. 

We are a small, close-nit team within our Markets Platform Engineering group, with the OMS sitting between AHL strategies and our execution systems which act as the interface to the market. We’re in the core position of the investment process and interact with many other parts of the firm, providing a unique opportunity to build comprehensive knowledge across the trading lifecycle. It’s a particularly exciting time to join as we’re currently investing heavily, evaluating our stack to increase both its performance and agility in onboarding new flows to support AHL’s future growth.  

Our Technology 

Our systems run on Linux via containers, with most systems built using Java. We use Git for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, Ansible for architecture automation, and Slack for internal communication. We have access to all major frontier LLM models and harnesses, leveraging bespoke skills to both develop and support our systems. That said, our technology is never static: we constantly evaluate new tools and libraries. 

Key Competencies 

Required  

• 3+ years of professional experience in software engineering with Java or another statically typed language. 
• Database / SQL skills.
• Great communication skills coupled with the ability to work closely with both technical and non-technical colleagues. 
• A proponent of strong software engineering techniques and agile methods: continuous integration, code review, unit testing, refactoring and related approaches. 
• Proficient working with Linux. 
• Embracing agentic engineering: willingness and ability to work effectively with AI -assisted development tools as part of daily workflow 

Advantageous 

• An excellent understanding of financial markets and instruments. 
• Experience with FIX. 
• Expert in Java. 
• Python knowledge. 
• Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank. 
• Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing. 
• Experience of web-based development (TypeScript). 
• Relevant mathematical knowledge e.g. statistics, asset pricing, time-series analysis optimisation algorithms. 

Personal Attributes 

• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university 
• Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others  
• Demonstrable passion for technology e.g. personal projects, open-source involvement 
• Intellectually robust with an analytic approach to problem solving 
• Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities 
• Focused on delivering value to the business with relentless efforts to improve process  
• Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike  
• Confident communicator; able to argue a point concisely and deal positively with conflicting views.