Case Study - New Business Onboarding Process

Automation and co-ordination of the new business onboarding for a global energy company

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    Case Study - New Business Onboarding Process

    Automation and co-ordination of the new business onboarding for a global energy company

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    In the high-risk sector of correspondent banking, traditional transaction monitoring capabilities are limited in utility by legacy technology and therefore have limited ability to verify the identity and nature of payments to pseudo-customers resulting in large volumes of poor-quality transaction monitoring alerts. This in turn limits the bank's ability to meet regulator anti-money laundering expectations.

  • Credit Risk Analysis on Small & Medium Enterprises
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    Credit Risk Analysis on Small & Medium Enterprises

    The client had identified a need to improve its identification/classification of SME to improve its lending credit risk process and to further improve risk scoring in the underwriting process.

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    Finding prospective customers

    The client wanted to improve its ability to leverage the scale and relationships of the wholesale bank to drive significant revenue growth across the group.

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    Corresponding banking: Improving Transaction Monitoring Controls (TMC)

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Suggested Content

Clear Search

    Case Study - New Business Onboarding Process

    Case Study - New Business Onboarding Process
    PDF

    Automation and co-ordination of the new business onboarding for a global energy company

    NextWave Business Acceleration Scorecard

    NextWave Business Acceleration Scorecard
    LINK

    Get your personalised acceleration score & custom report

    Case Study – Digital transformation for a fast-growing fintech

    Case Study – Digital transformation for a fast-growing fintech
    PDF

    Using Appian to assist in the rapid delivery of a series of low-code solutions and provided expertise from both our Dutch and UK offices.

    The Appian Europe Resource Hub

    The Appian Europe Resource Hub
    LINK

    Click the ‘Access The Appian Europe Hub’ button on the right

    Perspectives – AI In financial services

    Perspectives – AI In financial services
    LINK

    Insight into AI techniques and use cases.

    Improving Transaction Monitoring Controls for identifying money laundering and suspicious activity

    Improving Transaction Monitoring Controls for identifying money laundering and suspicious activity
    IMAGE

    In the high-risk sector of correspondent banking, traditional transaction monitoring capabilities are limited in utility by legacy technology and therefore have limited ability to verify the identity and nature of payments to pseudo-customers resulting in large volumes of poor-quality transaction monitoring alerts. This in turn limits the bank's ability to meet regulator anti-money laundering expectations.

    Credit Risk Analysis on Small & Medium Enterprises

    Credit Risk Analysis on Small & Medium Enterprises
    IMAGE

    The client had identified a need to improve its identification/classification of SME to improve its lending credit risk process and to further improve risk scoring in the underwriting process.

    Finding prospective customers

    Finding prospective customers
    IMAGE

    The client wanted to improve its ability to leverage the scale and relationships of the wholesale bank to drive significant revenue growth across the group.

    Detecting suspicious activity in the Markets space

    Detecting suspicious activity in the Markets space
    IMAGE

    The client wanted to replace their existing transaction monitoring system, taking advantage of network analysis and third-party data (D&B) to improve the quality of their alerts, i.e. improving risk coverage and reducing volume of false positives.

    Quantexa "fast track" capabilities

    Quantexa
    IMAGE

    A one page overview of how we support clients to build their own Quantexa platform with skills and delivery capabilities.

    Quantexa Case Manager

    Quantexa Case Manager
    PDF

    The solution to transaction monitoring and fraud.

    Corresponding banking: Improving Transaction Monitoring Controls (TMC)

    Corresponding banking: Improving Transaction Monitoring Controls (TMC)
    IMAGE

    NextWave worked with Quantexa to enhance a major UK bank’s Correspondent Banking Transaction Monitoring Control Assessment (TMCAs) framework to improve risk topology coverage and process performance.

    Trade anti-money laundering detection for a major Japanese investment bank

    Trade anti-money laundering detection for a major Japanese investment bank
    IMAGE

    NextWave was mobilised by a major Japanese investment bank to identify potential markets’ fraudulent cases in a proof-of-concept project.