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Addepar is a global data and AI platform that empowers investment professionals to turn complex financial information into actionable intelligence. The company unifies portfolio, market, and client data to deliver AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets.
The IBOR Operations Analyst role sits at the center of Addepar's data pipeline, responsible for reconciling custodian, trading, and book-of-record data daily to ensure clients see accurate holdings, transactions, and tax lots. This is a hands-on operations position for someone who wants to build strong reconciliation and investment-product expertise while working closely with Engineering and Product teams to improve and automate processes.
Key responsibilities include:
- Perform daily reconciliation of positions and cash across systems, investigating and resolving discrepancies within required deadlines
- Distinguish genuine data errors from expected, explainable differences to ensure only real issues get escalated
- Process and validate corporate actions, and clear any related reconciliation breaks
- Handle daily and firm-specific operational tasks accurately and on schedule
- Monitor data readiness and volumes, flagging anomalies proactively
- Partner with Engineering and Product to convert recurring manual issues into tooling improvements, prioritizing by severity and impact
- Support and use internal reconciliation tools to move toward exception-driven, automated workflows
- Clearly document and communicate root causes of issues to relevant stakeholders
REQUIREMENTS:
- Bachelor's or Master's degree in Finance, Accounting, or a related field, or equivalent practical experience
- Solid understanding of reconciliation fundamentals — comparing data across multiple sources and identifying root causes
- Working knowledge of investment products across equities, fixed income, and derivatives
- Good understanding of corporate actions and how they affect systems and data, and how timing differences between sources create reconciliation discrepancies
- Strong attention to detail, ownership of daily deadlines, and clear written communication skills
- Comfortable working in a metrics-driven environment with daily service-level deadlines
NICE TO HAVE:
- SQL or other data-querying skills to independently investigate issues
- Familiarity with using AI-assisted tools to support data analysis or workflow automation
- Prior experience with custodial data feeds, portfolio accounting systems, or trade order management systems
Note: Legal authorization to work in India is required on the first day of employment. Visa sponsorship is not available.
