📍 Location: Pune, India
🏢 Company: Deutsche Bank🆔 Job ID: R0394305
📅 Posted on: June 25, 2025
💼 Job Type: Full-Time
🧑💻 Level: Operations Analyst (Mid-Level)
🏢 Work Mode: Onsite
📝 Job Overview
Deutsche Bank is inviting applications for the role of Reference Data Analyst in its Operations team based in Pune. This role involves managing reference data critical to banking operations, especially within Alternative Real Estate Assets & REIT structures. The candidate will support the life cycle of static data, help resolve data quality issues, and work closely with multiple teams including Front Office, Middle Office, and Compliance.
📋 Job Summary Table
Company | Deutsche Bank |
---|---|
Position | Reference Data Analyst |
Location | Pune, India |
Job ID | R0394305 |
Work Mode | Onsite |
Job Type | Full-Time |
Level | Operations Analyst |
Skills | Reference Data, REIT Ops, Bloomberg, Market Data |
Eligibility | 1–2 Years Experience, Capital Market Knowledge |
Key Responsibilities
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Process and validate client static data in systems used by operations
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Monitor risk across alternative assets and REIT portfolios
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Manage account lifecycle events: setup, amendment, and closure
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Investigate and resolve data issues related to financial instruments
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Collaborate with multiple teams and escalate issues when necessary
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Support projects related to process improvement and automation
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Maintain high-quality data standards in line with SLAs
🎯 Required Skills
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Strong understanding of Reference Data & Trade Life Cycle
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Knowledge of REIT regulations, fund accounting, and capital markets
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Familiarity with data providers like Bloomberg, Reuters
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Tools: Aladdin, SimCorp, Eagle (preferred)
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Strong attention to detail and a client-focused mindset
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Good understanding of variable/static market data
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Exposure to real estate operations or alternative asset classes
🎓 Qualifications
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Graduate with 1–2 years experience in real estate asset management or data ops
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Exposure to capital markets and financial data tools required
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Strong communication and data analysis skills preferred
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