Job Description:

Our client is a high-performing market-maker & liquidity provider. The business is expanding its London engineering team due to continued commercial growth and increasing demand across its trading operations. 

This role involves working on their flagship Options Trading Platform. This is an opportunity to join a fast-moving, technology-led environment where software engineering sits directly alongside trading, quant research and market-facing strategy. The successful candidate will work on sophisticated electronic trading systems, helping to build and improve platforms that operate in highly volatile, 24/7 markets where latency, reliability and quality of execution are critical.

THE ROLE:

This is a hands-on Rust Development role in a small team with a democratic and hands on manager. with our client, focused on building and enhancing technology for electronic and systematic trading.

You will work closely with experienced traders, quantitative researchers and other software engineers to develop, improve and optimise trading systems used across digital asset markets. The role sits close to the trading function and offers direct exposure to automated execution, exchange connectivity, risk management, options trading and trading analytics.

The successful candidate will contribute to all areas of the trading platform, including risk calculations, volatility models, execution algorithms, research tooling and infrastructure. This is a highly technical role in a fast-moving environment where engineering quality, performance and latency have a direct impact on trading outcomes

This role is based in London on a hybrid working pattern. 

KEY RESPONSIBILITIES:

• Design & continuously improve low-latency, high-throughput trading systems.

• Contribute to the ongoing improvement of an options trading platform, including risk, volatility, execution and research components.

• Build, optimise and maintain connectivity to new and existing trading venues.

• Work closely with quantitative researchers to improve trading strategies by enhancing automated execution strategies and hedging models.

• Automate trading workflows to improve efficiency, scalability and risk control.

• Develop and improve systems for trade booking, reporting and operational workflows.

• Create tools that improve developer productivity and support build, deployment and infrastructure processes.

• Develop analytics tools to monitor trading performance, execution quality and system behaviour.

REQUIRED - SKILLS / EXPERIENCE:

• Commercial experience developing software in Rust.

• Demonstrable professional software development experience within electronic, systematic, or a similar trading platform environment.

• Experience gained in any asset class, provided it involves front office latency critical trading systems

• Strong understanding of software architecture and high-quality engineering principles.

• Experience developing applications in Python.

• Experience with cloud and infrastructure technologies, particularly AWS, including services such as EC2, EKS and S3.

• Experience with containerisation and orchestration tools such as Docker and Kubernetes.

• Strong Linux experience.

• Experience working with distributed systems or globally distributed technology environments.

DESIRABLE - SKILLS/EXPERIENCE:

• Experience working on an options trading platform is desirable but any systematically traded asset class and/or derivative is acceptable  .

• Exposure to FPGA or ultra-low-latency trading environments.

• Understanding of inter-process communication technologies such as gRPC, Redis or Kafka.

• Knowledge of lock-free data structures, queues, atomics and related performance-focused programming concepts.

• Strong understanding of networking concepts.

• Further experience with AWS and Kubernetes.

• Experience using or building quantitative analysis tools.