Analyst, Portfolio Administration - Tampa

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The Analyst, Portfolio Administration will be a member of the Portfolio Administration and Reporting team which is responsible for portfolio administration, client reporting, and performance. The Analyst's responsibilities will include, but are not limited to, supporting the oversight of DoubleLine's outsourced middle office service provider, setting up and maintaining global custody accounts for DoubleLine funds, and ensuring reconciliation issues are resolved in a timely manner.

Job Functions

• Review cash and asset reconciliation reports from middle office; work with DoubleLine internal parties, middle office, and custodians to resolve outstanding issues in a timely manner.
• Lead and facilitate regular meetings with internal and external stakeholders to address issues and ensure alignment of objectives.
• Support the general oversight of DoubleLine's outsourced middle office service provider, collaborating with them to improve processes and minimize operational risk.
• Assist in setting up and maintaining global custody accounts and tax documents for DoubleLine funds, ensuring required local markets are open and ready for trading by the Investment Team.
• Work with custodians and fund administrators to ensure connectivity and communication between custodians, fund administrators, and middle office.
• Research daily data discrepancies between DoubleLine's fund administrators and middle office.
• Set up recurring and ad hoc reports and data files for internal and external parties.
• Assist with other team-, department-, and firm-level projects and initiatives as needed.

• Bachelor's degree preferred.
• 3+ years of experience with portfolio administration and/or fund accounting processes in the investment management field strongly preferred.
• Experience opening and maintaining global custody and local foreign market accounts strongly preferred.
• Experience with oversight of outsourced middle and back-office vendors preferred.
• Proficiency with Microsoft 365 required.
• Familiarity with data tools and programming languages such as Power BI or Python preferred.
• Basic knowledge of fixed income instruments preferred.