FinTech, Financial Services, Wealth Management

Data Feed Operations - Associate

RemoteRemoteFull Time$75,000–$85,000 /yrPosted 25 days agoVisa sponsorship available

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Required skills

Data Feed Operations
Data Solutions
post-trade investment data
SQL
relational databases
cloud data platforms
Snowflake
PostgreSQL
APIs
file-based integrations

Nice to have

Python
alternative investments
private markets
wealth management
investment performance reporting
fund accounting

Role summary

iCapital is seeking an Associate for its Data Feed Operations team. This role focuses on ensuring the quality and reliability of post-trade investment data by monitoring data feeds, reconciling various financial data points, investigating exceptions, and certifying reporting data. The position requires strong SQL skills for data analysis and relational database work, experience with APIs and file-based integrations, and a solid understanding of data operations within the financial technology sector. Responsibilities include root cause analysis, documentation, and translating operational issues into requirements for product and engineering teams. Experience with Python, data migrations, and alternative investments is preferred.

About the Role

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. This hands-on, highly collaborative role partners across technical and business teams to solve complex data challenges and support scalable data operations within a fast-moving financial technology environment.

Responsibilities

Monitor inbound and outbound data feeds, APIs, file-based integrations, processing results, validations, deliveries, and service exceptions.

Reconcile investment positions, transactions, valuations, cash activity, and related reporting data across source systems and downstream outputs.

Investigate data-quality exceptions and feed breaks, determine root cause, document findings, and coordinate remediation with internal and external partners.

Certify the completeness and accuracy of reporting data before publication, migration acceptance, or client and partner delivery.

Use SQL to analyze relational data, validate populations, trace lineage, identify anomalies, and produce repeatable reconciliation evidence.

Use analytical and automation tools to develop controls, transform and compare data sets, reduce manual analysis, and support scalable monitoring and reconciliation workflows.

Document feed specifications, source-to-target mappings, business rules, procedures, controls, issue histories, and certification evidence.

Translate operational issues and recurring break patterns into actionable requirements for the Product and Engineering teams.

Participate in testing and certification for new feeds, feed changes and platform migrations.

Provide clear status updates and respond to client, partner, and internal stakeholder questions regarding feed health, data quality, and issue resolution.

Help define and track operational measures such as feed timeliness, successful delivery, break recurrence, resolution time, certification status, and data adoption.

Qualifications

3-5 years of relevant experience in data operations, investment operations, data analysis, financial technology, performance reporting, fund administration, or in 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

Experience monitoring data feeds, investigating exceptions, reconciling data, and documenting mappings or business rules

Experience with investment positions, transactions, valuations, capital activity, partner capital account data, or general-ledger data

Working knowledge of alternative investments, private markets, wealth management, investment performance reporting, or fund accounting

Python experience for data analysis, validation, automation, or reconciliation

Experience supporting data migrations, source-system conversions, or implementation testing in a controlled production environment

Strong analytical judgment and a structured approach to root-cause analysis and problem solving

Excellent attention to detail, with the ability to manage multiple priorities in a fast-paced environment

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

Benefits

The base salary range for this role is $75,000 to $85,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us

X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc |

Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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Data Feed Operations - Associate

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