DataRobot Achieves AWS Financial Services Competency Status

May 10, 2018

Company Also Unveils Support for Amazon SageMaker and Amazon Redshift Data Tools

Boston – May 10, 2018 –  DataRobot, the pioneer in automated machine learning, announced today that it has achieved Amazon Web Services (AWS) Financial Services Competency status. This designation recognizes DataRobot for delivery of effective solutions to help financial institutions identify, model, and assess risk, ensure monitoring and compliance with industry regulations, or help in surveillance or fraud monitoring.

Achieving the AWS Financial Services Competency differentiates DataRobot as an AWS Partner Network (APN) member that has demonstrated relevant technical proficiency and proven customer success, delivering solutions seamlessly on AWS. To receive the designation, APN Partners must possess deep AWS expertise and undergo an assessment of the security, performance, and reliability of their solutions.

“This acknowledgement highlights DataRobot’s deep expertise and commitment to the financial services industry and allows us to better support our financial services customers on the DataRobot Cloud,” said Justin Dickerson, DataRobot General Manager – Global Fintech. “As DataRobot continues to develop new features for our banking, fintech, and insurance customers, including new solutions for Model Risk Management compliance, we look forward to enhancing the capabilities of the DataRobot Cloud on AWS.”

AWS is enabling scalable, flexible, and cost-effective solutions for banking and payments, capital markets and insurance organizations, from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify Consulting and Technology Partners in the APN with deep industry experience and expertise.

DataRobot automates the data science workflow, enabling users to build and deploy highly accurate predictive models in a fraction of the time of traditional methods. Financial services companies use the DataRobot automated machine learning platform for a wide variety of uses cases, including model risk and validation, anti-money laundering, fraud detection, credit and repayment risk, infrastructure monitoring, and prospecting. With DataRobot, financial services organizations can lower costs, and reduce exposure to regulatory fines and issues. OppLoans, a leading fintech platform, uses the DataRobot Cloud platform to deliver predictive models and underwrite processes that are more in tune with how consumers actually behave.

“DataRobot transformed our ability to complete data science projects faster, allowing us to scale underwriting processes without sacrificing the quality or sophistication of analytics,” said Deena Narayanaswamy, Director, Credit Risk at OppLoans. “The cloud environment provides a flexible and cost-effective way for us to quickly build models, do analysis, and evaluate new data sources to make our team – and in turn, our business – more effective.”

Support for Advanced AWS Data Tools

DataRobot also unveiled integrations with two AWS solutions – Amazon SageMaker and Amazon Redshift. Amazon SageMaker is a solution that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With DataRobot and Amazon SageMaker, users of both solutions are empowered with key capabilities of rapid model development, automated machine learning, seamless collaboration, and fast model deployment.

Amazon Redshift is a fast, fully managed data warehouse. By adding Amazon Redshift as a data source, DataRobot makes it easy for joint customers to pull data from Redshift into DataRobot to successfully achieve deeper insights with automated machine learning.

DataRobot integrations with Amazon SageMaker and Amazon Redshift are available immediately to DataRobot Cloud users. For more information, visit

About DataRobot

DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to make better predictions faster. Incorporating a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform automates, trains, and evaluates predictive models in parallel, delivering more accurate predictions at scale. DataRobot provides the fastest path to data science success for organizations of all sizes. For more information, visit

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