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    Finance & Risks

    Finance & Risks


    The challenges for Finance, Risks and ALM departments today are strongly interconnected :

    The development of massive, heterogenous and fast-moving data sets, to enhance more robust business and operational models; The availability and maturity of data processing technologies necessary to manage this integration; A regulatory matrix that is increasingly complex.

    Listed below are some of your new challenges:

    1. Partner with the business, with client and business profitability monitoring, and with predictive innovation tools
    2. Design a roadmap to operational excellence
    3. Creating the capacity to integrate and adapt innovation to business line requirements: RPA, DataViz, Data Intelligence, Predictive analysis…
    4. Implement transverse and disruptive regulations (BCBS239, IFRS9, FRTB,  IRRBB …) and other initiatives such as the Targeted Review of Internal Model (TRIM)
    5. Prevent operational risks, through data cross analysis (internal/external)


    Our consultants have been working at the heart of these transformations and can help you take on these new challenges. Listed below are some of the many expertise Aurexia consultants have to offer but are not limited to:

    1. Business: Improve client profitability monitoring process and ensure client revenue collection, Design of Client Risk Early Warning processes
    2. Process: Design Offshoring/Nearshoring strategy, Data Management (governance, dictionary, architecture, etc.), Process reviews
    3. Regulatory: , Manage program to comply with new regulatory reportings (IFRS9/AnaCredit/NPL/Liquidity reporting…), data-centric Target Operating Model, in the frame of FRTB requirements, Data Management Tool in the context of BCBS 239 requirements
    4. Digital : RPA screening processes of Finance function, POC design & implementation, Automatic dashboarding framing, design and implementation of a CIB Central scoring and reporting tool to monitor G-SIB indicator – including a predictive module – based on advanced analytics and data-visualisation systems

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