Financial Markets

Financial Markets firms are at a unique place and time in their evolution. They are faced with some of the biggest challenges in their history: full electronification of markets, technology disruption, fee compression, and lower client switching costs, to name just a few. At the same time, they are embracing some of their biggest opportunities, many made possible by technology: the convergence of data ubiquity, high-speed processing, and advanced technologies, such as AI and machine learning.

Discover how automated machine learning is driving the Fintech revolution.

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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 machine learning initiatives. DataRobot enables Fintech users and companies to build and deploy highly accurate machine learning models in a fraction of the time.

AI and Financial Markets

As financial markets firms work to digitize and transform for growth and operational efficiencies, they are aggressively innovating and differentiating, as they compete for share of assets and create a next generation client experience. AI helps firms to reimagine their operations by accelerating these initiatives and by leveraging their own data and delivering bottom-line results that help them not just compete but win.

Use Cases Across Financial Markets

The opportunity to apply AI and machine learning across financial markets is expansive. There are thousands of applications for automated machine learning to help ensure that financial markets firms are making faster and better decisions.

Asset Management

Optimizing your portfolio is critical to your firm’s success. By deploying the right predictive models, fund managers can anticipate changes in cash position impacting liquidity. As these models improve over time, your portfolio’s performance becomes a differentiator.

Marketing and Cross-Selling

Customized marketing campaigns increase ROI and improve response rates. Automated machine learning models identify the clients most likely to respond, along with the best offers and the best prospects. Deliver higher success rates with new customer acquisition and cross-sell and upsell programs.

Fraud and Financial Crimes

Fighting financial crime by identifying suspicious activity is critical, especially as criminals get more sophisticated. It also enables investigations to take place before loss occurs. Using machine learning, your firm can learn from investigational findings and incurred losses to accurately detect activities like account takeovers or wire fraud, while maintaining effective trade and communication surveillance.

DataRobot Can Help:

Business Line and Functional Heads

Even if you do not have deep data science talent on your team, you can leverage AI to tap into the data that your firm already has. Data and business analysts without formal data science training can be enabled to build and deploy sophisticated AI models to drive business value.

Chief Data Officers

Automated machine learning helps you optimize the productivity of your existing data science team. With DataRobot’s automated model risk management and model validation templates, you can relieve data scientists from documentation requirements. The DataRobot platform gives you simple deployment options that can help you get solutions to market faster by finding the best models for your organization.

Data Scientists

You probably have a backlog of analytics requests. DataRobot can help. By taking on low-risk models from start to finish, the DataRobot platform can free up your time to focus on projects where the payoff is the greatest. Using automated machine learning to build many models at once saves you the time and effort of testing and comparing every model — increasing precision and giving you more model granularity.

Chief Information Officers

Most firms have plenty of data but not enough analytics staff to turn that data into insight. With DataRobot, you can democratize data science and watch the performance of your business take off, as the data reveals opportunities and improvements that can help you to monetize your investments in data infrastructure.

 
Pauline McKinney
Pauline McKinney
VP, Data Analytics, Wellen Capital

What Our Customers Are Saying

  • "Fintech é estimulante. É uma força verdadeiramente disruptiva na economia À medida que a interação entre consumidores, organizações e instituições financeiras se torna mais harmônica, existem oportunidades significativas para que organizações fintech usem modelos preditivos. Automated machine learning permite que empresas fintech criem modelos mais simples e mais precisos de underwriting, detectem fraudes em seus fluxogramas e encontrem os clientes certos para seus produtos"

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