At a Glance
- Tasks: Support and enhance electronic trading systems in a fast-paced environment.
- Company: Join Talan, a global leader in investment banking technology.
- Benefits: Competitive salary, on-site work, and opportunities for professional growth.
- Other info: Dynamic team with global collaboration and excellent career advancement opportunities.
- Why this job: Be at the forefront of trading technology and make a real impact.
- Qualifications: Experience in application support and strong technical skills required.
The predicted salary is between 50000 - 70000 £ per year.
Location: London (On-site, 5 days per week)
Role Overview
Talan is seeking an experienced Application Support Engineer to join a high-performing global team supporting the eTrading environment for a leading investment banking client. Operating within a Production & Application Support function, this role sits at the heart of front-office trading technology, ensuring the stability, performance, and continuous improvement of critical electronic trading platforms. You will work in a complex, low-latency environment supporting high-volume trading flows, interacting closely with trading desks, development teams, and infrastructure specialists across a global follow-the-sun support model.
Key Responsibilities
- Oversee day-to-day production support activities, including monitoring, incident management, and capacity planning
- Act as a key point of contact for issue resolution, liaising with traders, developers, infrastructure teams, and external vendors
- Take ownership of assigned applications and platforms, developing deep technical expertise
- Support and enhance electronic trading systems, including pricing engines, algorithmic trading components, and STP workflows
- Manage connectivity to external trading venues (e.g. exchanges, ECNs, market data providers)
- Contribute to system design improvements, focusing on resilience, scalability, and performance optimisation
- Coordinate release and change management activities, ensuring robust deployment processes
- Participate in a shift-based rota (7am–6pm coverage) and on-call support, including occasional weekend work
- Collaborate with global teams across Europe, North America, and Asia within a follow-the-sun support model
- Continuously improve documentation, monitoring, and operational processes
Required Skills & Experience
- Strong experience in Application Support within electronic trading or capital markets environments
- Solid expertise across Linux and Windows server environments
- Experienced within Wintel Engineering
- Good understanding of market connectivity, networking, and infrastructure (firewalls, multicast, latency considerations)
- Ability to analyse system performance across CPU, memory, network, and messaging layers
- Proficiency in scripting and automation (e.g. Python, Shell, PowerShell, SQL)
- Experience with CI/CD and deployment tools (e.g. Jenkins, Ansible, Artifactory)
- Familiarity with application stacks involving Java, C++, or .NET
- Strong stakeholder engagement skills with the ability to operate in a front-office facing role
- Proven ability to manage incidents and deliver improvements in high-pressure environments
Desirable Skills
- Experience with ION trading platforms or similar vendor systems
- Knowledge of multicast messaging and low-latency trading architectures
- Monitoring tools such as Geneos or Zabbix
- Experience with Splunk or similar log analytics platforms
- OS performance tuning and optimisation
Application Support Engineer employer: Talan
At Talan Data x AI, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across our UK offices in London, Edinburgh, Manchester, Leeds, and Birmingham. Our commitment to employee growth is evident through our comprehensive benefits package, including a unique reward programme for sabbaticals, generous holiday allowances, and bespoke online learning opportunities, ensuring that our team members not only excel in their roles but also thrive personally and professionally in the fast-evolving field of data science and AI.
