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Salary: USD 75,000 - 85,000 / annual
iCapital is seeking a detail-oriented and technically capable Associate to join the Data Feed Operations team within Data Solutions. This role sits at the intersection of investment operations, data analysis, and technical data management, with a focus on supporting the quality and reliability of post-trade investment data.
You will monitor inbound and outbound data feeds, APIs, file-based integrations, processing results, validations, deliveries, and service exceptions. You will reconcile investment positions, transactions, valuations, cash activity, and related reporting data across source systems and downstream outputs. You will investigate data-quality exceptions and feed breaks, determine root cause, document findings, and coordinate remediation with internal and external partners.
Key responsibilities include certifying the completeness and accuracy of reporting data before publication, migration acceptance, or client and partner delivery. You will use SQL to analyze relational data, validate populations, trace lineage, identify anomalies, and produce repeatable reconciliation evidence. You will use analytical and automation tools to develop controls, transform and compare data sets, reduce manual analysis, and support scalable monitoring and reconciliation workflows.
You will document feed specifications, source-to-target mappings, business rules, procedures, controls, issue histories, and certification evidence. You will translate operational issues and recurring break patterns into actionable requirements for the Product and Engineering teams. You will participate in testing and certification for new feeds, feed changes, and platform migrations. You will provide clear status updates and respond to client, partner, and internal stakeholder questions regarding feed health, data quality, and issue resolution. You will help define and track operational measures such as feed timeliness, successful delivery, break recurrence, resolution time, certification status, and data adoption.
This is a hands-on, highly collaborative role that partners across technical and business teams to solve complex data challenges and support scalable data operations within a fast-moving financial technology environment.
Workplace: Monday–Thursday in office, Friday remote.
**Requirements:**
- 3–5 years of relevant experience in data operations, investment operations, data analysis, financial technology, performance reporting, fund administration, or a related field
- Advanced SQL skills and experience analyzing data in relational databases, including cloud data platforms such as Snowflake or PostgreSQL
- Experience working with APIs, file-based integrations, external data-provider workflows, ETL or ELT processes, data pipelines, or orchestration workflows
- Strong written and verbal communication skills, with the ability to work effectively across business and technical teams, take ownership of issues through resolution, and contribute as a collaborative team member
