Finance - Analytics Finance - Associate
AQR Capital Management - Bengaluru
Posted Apr 3, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Finance - Analytics Finance - Associate Bengaluru About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology - powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. The Team The Distribution Analytics team in the Finance organization is responsible for supplying data-driven insights that support the firm's global distribution efforts. You will work closely with the Business Development team, the Distribution Analytics function, and the Data Engineering team to deliver high-impact analytics, build dashboards and ensure the integrity of our CRM/distribution data. Your Role In this position you will: - Develop, deliver and maintain ad-hoc and periodic tactical and strategic analytics/reports to support Business Development and distribution channels. - Use SQL (and other query tools) to extract, manipulate and analyze data. - Collaborate with the CRM system to produce reports and monitor data quality (e.g., completeness, consistency, accuracy of sales/distribution records). - Work with Data Engineering
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