Shift Requirements
Monday–Friday: Market open hours
Rotating weekend: On-call batch / incident support
Occasional weekend work: Limited project / implementation activities as
needed

Key Responsibilities

Batch Monitoring & Incident Management
Monitor automated batch job streams in an enterprise job scheduler (e.g., CA
Autosys or similar), maintaining heightened sensitivity to all alerts,
delays, and abnormal conditions.
Own the processing cycle during assigned shifts, ensuring jobs start, run,
and complete within defined SLAs and market timelines.
Proactively identify, investigate, and drive resolution of job
failures, abends, transmission issues, and connectivity-related problems.
Escalate incidents to appropriate application, infrastructure, and vendor
support teams with explicit, concise context and required urgency.
Lead or actively participate in incident bridges, contributing to triage,
impact assessment, and root cause analysis (RCA) for batch-related events.
Provide accurate, timely status updates during high-pressure periods (e.g.,
SOD,



intraday cycles, EOD, month-end, quarter-end).

Job Scheduling & Change Management
Add, modify, or remove jobs within the batch stream based on approved
requests from operations, client service, and project teams.
Work closely with internal teams to correctly sequence current jobs and
dependencies as part of current batch onboarding and JIL/build work.
Support key initiatives such as disaster recovery tests, client/vendor
testing, and other controlled non-production and production events.
Adhere to all change, compliance, and approval standards, ensuring that
environmental changes follow documented procedures and corporate policies.

Operational Support & Client/Vendor Interaction
Intake, prioritize, and organize intraday requests for daily and weekend
processing via the ticketing system.
Communicate with clients, financial institutions, and vendors via email and
phone regarding file receip

📌 Senior Data Operations Analyst Bengaluru (India)
🏢 InvestCloud
📍 India