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  "documentTitle": "Remitly Global, Inc. (RELY)",
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  "authorName": "Spruce Point Capital Management",
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  "presentationDate": "2025-03-11 00:00:00",
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      "kind": "callout",
      "text": "Remitly added a new risk factor that caught our attention and is concerning in the context of significant turnover in its compliance and risk areas along with increased microlending.",
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      "text": "New Risk Factor: Quantitative Model Risk? \"The development and use of quantitative models in our business may present risks and challenges that could adversely impact us. We rely on quantitative models across our business in areas such as liquidity management, monitoring and managing of risk, and forecasting. The accuracy of our calculations depends on the reliability of the underlying models and assumptions. These models are constructed based on historical data, which, by its nature, may not be fully indicative of future results, especially in the face of unprecedented conditions or shifts. An overreliance on historical data without adequate consideration for potential future changes can lead to miscalculations, potentially impacting our ability to manage risks effectively. Moreover, the quantitative models we employ are subject to the risk of oversimplification. In an effort to make complex assumptions comprehensible, we may inadvertently omit crucial variables or interactions, leading to an incomplete understanding of relevant dynamics. This simplification, while necessary for computational feasibility, increases the risk of discrepancies between model predictions and actual outcomes. Further, the assumptions underlying our models are inherently speculative. These assumptions are influenced by a myriad of factors, all of which are fluid and can evolve in unpredictable ways. A failure to accurately anticipate or quickly adapt to these changes could render our models less effective, which could adversely affect our business, financial condition, operating results, and future prospects. Finally, the potential for model failure or significant prediction errors poses a risk to our financial stability. Any discrepancies between model forecasts and actual outcomes may lead to unexpected losses. Such situations could strain our financial resources, require us to obtain additional funding, which may not be available on terms attractive to us, if at all, and negatively impact our ability to capitalize on growth opportunities.\"",
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      "text": "Source: RELY 2024 10-K",
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      "text": "New Quant Model Risk Factor Concerns Us",
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