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Fund Data Reporting and Analytics – Associate
| Company | GCM Grosvenor |
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| Location | Chicago, IL, USA |
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| Salary | $100000 – $135000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Bachelors in Finance, Economics, Statistics, Computer Science, or Economics (Master’s preferred).
- 3–6 years of relevant experience in a finance or data analytics role.
- Strong analytical, critical thinking and problem-solving skills are required.
- Advanced Excel and Power BI skills as well as a demonstrated aptitude for quantitative and qualitative analysis are required.
- A strong attention to detail and concern for the quality and accuracy of final work products is critical.
- Excellent project management and organizational skills are required, including the ability to manage multiple projects simultaneously under pressure in a fast-paced, dynamic environment.
- The highest degree of integrity and the ability to maintain confidential information is absolutely necessary.
Responsibilities
- Analyze data related to funds and co-investments across our private equity, infrastructure, private credit, and real estate-focused portfolios.
- Prepare, analyze, and report performance information for client reporting, business development and marketing purposes.
- Translate data into compelling insights for client reports, RFP/RFIs, marketing materials, and senior leadership decision-making.
- Create dynamic models that forecast portfolio performance, cash flows, fees, carried interest, and other financial metrics.
- Oversee the processing, storage, and synthesis of large amounts of structured and unstructured data collected throughout the GCM investment and fundraising processes.
- Manage and provide guidance to offshore analysts on project execution, ensuring efficiency, accuracy, and quality.
- Continuously improve reporting processes and data pipelines, helping to push the team toward scalable, automated solutions.
- Manage multiple requests simultaneously, ensuring that deadlines are met.
- Routinely handle confidential information and apply strict confidentiality and sensitivity in the dissemination of this information; and perform various ad-hoc and long-term projects and as assigned.
Preferred Qualifications
- Alternative investment industry experience, particularly private equity, and an understanding of the concepts and data relating to investment performance, assets under management, asset allocation and risk exposure are strongly preferred.
- Experience with Python or other coding skills is preferred.
- Experience working with iLevel is preferred, but not required.
