Fintech hero


Fintech organizations, whether launched two years ago or 20 years ago, are all vying for the same thing: RESULTS. In all corners of Fintech — be it payments, investing, lending, digital wealth, personal finance, capital markets or one of the myriad other areas — firms are looking to leverage AI and predictive modeling to increase revenues, grow their customer base, improve efficiency and manage risk. The time is now for Fintech firms to take their business to the next level.

Discover how enterprise AI is driving the Fintech revolution.

DataRobot captures the knowledge, experience, and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for enterprise AI initiatives. From AI in banking, to AI in asset management, to AI in credit risk: DataRobot enables Fintech users and companies to build and deploy highly accurate enterprise AI models in a fraction of the time.

Fintech use cases

Use Cases Across Fintech

DataRobot is popular with fintechs because it can increase modeling efficiency and accuracy while speeding up fintech operations to give them a competitive advantage over established banks and traditional financial services organizations.

  • Lending

    Fintech has fundamentally altered the lending landscape, and machine learning in banking has shined as a game-changing technology for lenders. From making smart underwriting decisions and reducing friction between lenders and consumers to identifying new customers and reducing the churn of existing customer bases, DataRobot’s enterprise AI platform helps Fintech lending organizations make better predictions faster.

  • Payments

    Improvements in the flow of capital across borders is one of the most significant benefits of Fintech, allowing businesses and consumers to participate in the financial ecosystem in exciting new ways – but significant challenges remain. Fraud has always been a concern in the banking and payments industries. DataRobot’s enterprise AI platform allows companies to build predictive models to identify payment transactions that need closer human inspection. By deploying machine learning models in real-time production, DataRobot helps companies find bad payments before they cause permanent damage.

  • Digital Wealth

    In an industry dominated by personal wealth advisors, Fintech has begun to automate the interactions between advisors and consumers in a way that increases transparency and reduces transactional fees. Artificial intelligence in Fintech will play a major role in the development of the digital wealth market, addressing the need for increased automation of portfolio management as “robo-advisors” begin to interact more frequently with customers. DataRobot’s enterprise AI platform plays a critical role in aligning consumers with the right opportunities to match their risk tolerance and financial profile.

DataRobot Helps Fintechs With:

  • Credit Card Fraudulent Transactions
    The cost of credit card fraud is billions of dollars per year. By accurately predicting which transactions are likely fraudulent, banks can significantly reduce illegal transactions while providing cardholders with excellent customer experience.
  • Credit Default Rates
    Individuals or businesses often need loans. Making accurate judgments using machine learning and credit risk assessments to mitigate the likelihood of default can make the difference between a successful and unsuccessful loan portfolio.
  • Digital Wealth Management
    Machine learning algorithms help digital wealth advisory companies automate many portfolio management services to be more efficient and effective.
  • Direct Marketing
    To maximize ROI, it’s important to boost marketing response rates and minimize misdirected communication. The most up-to-date modeling algorithms return the best results, but the data science expertise required to implement them is difficult to come by.
Pauline McKinney

VP, Data Analytics, Wellen Capital

    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

    DataRobot in the News

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