Best Financial Risk Management Software for Slack

Find and compare the best Financial Risk Management software for Slack in 2025

Use the comparison tool below to compare the top Financial Risk Management software for Slack on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    eFront Reviews

    eFront

    eFront, a part of BlackRock

    eFront's solution suite of software solutions offers an all-in-one platform for alternative investors who want to manage every aspect of their investments, from due diligence and fundraising to reporting across any alternative asset classes. Clients can rely upon eFront for their alternative investments. They have access to dedicated support teams and innovative R&D departments.
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    TiMi Reviews
    TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.
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    ThreatConnect Risk Quantifier (RQ) Reviews
    ThreatConnect RQ is a financial cyber risk quantification solution that allows users to identify and communicate the cybersecurity risks that matter most to an organization in terms of financial impact. It aims to enable users to make better strategic and tactical-level decisions by quantifying them based on the business, the technical environment, and industry data. RQ automates the generation of financial cyber risk reporting as it relates to the business, cybersecurity initiatives, and controls. Automated outputs are generated in hours for reporting that is more current and relevant. By automating risk modelling, the vendor states customers get a fast start and can critique, or tune models over time instead of having to create their own. They use historical breach data and threat intelligence upfront in order to save months of data collection and remove the burden of continuous updating.
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