Application Support Analyst

Job Description

Address technical and data issues requiring in-depth debugging and expertise in production software applications, often in situations where the problem is not clearly defined or ownership is ambiguous.

Monitor systems to ensure reports are produced on time according to SLA, proactively managing disruptions and incidents by reasoning across applications, data flows, infrastructure, and dependencies (batch, APIs, integrations).

Manage interfaces with upstream data pipelines, connecting signals across systems and using investigative troubleshooting (logs, documents, user inputs) to drive clarity and early detection.

Train users in need of assistance, providing structured communication and audit-safe updates during incidents.

Collaborate with peers and other teams to provide 24x6 support coverage, demonstrating ownership through resolution and comfort operating under SLA and time pressure.

Maintain documentation, runbooks, and incident records in compliance with audit requirements, defining boundaries and creating repeatable support structures for onboarding new systems.

Qualifications and Skills

• 3–5 years of experience in production support or related roles, with demonstrated ability to navigate unstructured problems and drive clarity across teams.

• Incident management and issue analysis to improve support procedures and methods.

• Writing back-end queries (mid-advanced SQL), programming in Python, Perl, PowerShell for monitoring and proactive issue identification.

• Experience in programming languages to enable real-time debugging of application issues and troubleshooting of code.

• Working understanding of regulatory bodies, reports, derivative trades, asset classes, and experience in the financial industry.

• Experience collaborating with business and all involved parties during disruptions to ensure optimal service restoration.

• Exposure to Copilot, Power Automate, or scripting to reduce repetitive effort and improve consistency.

• Experience That Adds Value

• Improving monitoring, reducing noise, and increasing diagnosability for production systems.

• Driving safe technical changes across infrastructure, applications, and batch processes.

• Onboarding systems with clear ownership boundaries and durable documentation.

• Preferred Mindset

• Comfortable operating in ambiguous, high-pressure environments.

• Ownership through resolution, not just escalation.

• Methodical, curious, and collaborative.