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Strong brand, common data analyst title, metro location, and broad skills make competition high.
Role requires finance and investment-specific data and regulatory knowledge, so background fit sensitivity is high.
Explicit 2+ years plus mandatory Excel, SQL and Python skills make shortlisting moderately strict.
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Own data sourcing, research, extraction, input, review, and summarization of institutional investment data across multiple asset classes including Equity, Fixed Income, Hedge Funds, and Private Markets.
Participate in data association and integration projects to link externally sourced data with internal records and improve data accuracy through auditing, cleanup, and reconciliation.
Collaborate globally with team members, especially those in the United States, to support daily analysis and review of investment documents and regulatory filings.
Minimum 2 years of experience in Data Analysis, preferably in the Finance domain.
Proficient in Excel (macros skills considered a plus) and knowledge of programming languages such as Python and SQL.
Educational qualification: B.Com, M.Com, MBA, PGDM, or equivalent degree in Finance.
Work Experience Required: Minimum 2+ years; Notice period: Not explicitly mentioned in the JD.
Experienced working with institutional investment data across diverse asset classes including traditional and private markets.
Capable of handling multiple tasks under stress and solving complex problems with incomplete information.
Comfortable collaborating with international teams and adapting quickly to new subject matter in financial data research and regulatory environments.