Application Support Analyst (L2/L3) - SQL & Powershell - Banking

We are seeking a technically strong Application Support Analyst to join a production support team responsible for business-critical financial systems. This is a hands-on L2/L3 role focused on data investigation, SQL troubleshooting, Scripting and automation, and resolving complex production issues at root-cause level.

You will be expected to analyse problems, write scripts, fix data and processes, and improve system reliability.

Key Responsibilities

• Provide L2/L3 production support for core applications and data flows
• Investigate data and processing issues using advanced SQL (T-SQL/PL/SQL)
• Perform data fixes, validation, reconciliations and performance analysis
• Debug batch and Real Time processes across Linux and Windows environments
• Develop and maintain automation and tooling using PowerShell, Bash and/or Python
• Investigate failed or delayed batch jobs and end-to-end processing chains
• Work with developers and infrastructure teams on root cause and permanent fixes
• Support releases, deployments and controlled changes into production
• Participate in incident, problem and DR processes, including RCA

Essential Skills and Experience

• Strong, hands-on SQL experience (complex queries, joins, stored procedures, data investigation)
• Strong Scripting skills in PowerShell, Bash, Python or similar
• Experience supporting production financial systems in an L2/L3 capacity
• Comfortable working directly on Servers (Linux/Windows) to diagnose issues
• Experience with batch processing and scheduled workloads (Control-M, Tidal, Autosys or similar is a plus)
• Experience troubleshooting data pipelines, interfaces and downstream impacts
• Proven ability to work independently and own issues through to resolution

Desirable

• Experience in asset management, custody, banking or trading environments
• Exposure to data warehouses, regulatory reporting or valuation processing
• Experience with monitoring tools (Splunk, Geneos, Dynatrace, etc.)
• Understanding of MQ or message-based integrations