Fintech & Financial services

Maximize your return.

Bring algorithmic decision-making to lending, investing, and banking with a data science platform.

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Transform financial services with machine learning.

Big data is transforming the landscape of financial services. By applying data science and predictive modeling to financial decision-making, fintech companies can more accurately determine creditworthiness, fraudulent activity, and market trends than their more traditional peers.


The Platform sets financiers up for success by simplifying the process of getting risk predictions off of a data scientist’s laptop and into the hands of lenders. Risk prediction models can be built in a Jupyter, RStudio, or Zeppelin session in the platform, shared with teammates or decision makers in a report or project, and deployed as APIs for easy integration.

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A data science platform for finance.

The Platform makes machine learning-powered finance applications scalable with features that foster collaboration and reproducibility.

Never lose track of work

Organize models, reports, and files by project and invite collaborators. Track changes with version control solutions like GitHub, Bitbucket, or GitLab.

Power applications instantly

Deploy fraud detection or customer risk models as APIs for easy integration with customer service software or credit approval systems.

Support business intelligence

With the click of a button, deliver interactive reports and visualizations built with the open source tools and packages of your choice.

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Find out why a data science platform is a smart investment.

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Tala's Director of Data Analytics Lauren Moores

Assessing Credit Risk with Data Science at Tala

Introduction to Anomaly Detection

Introduction to Anomaly Detection

Calculating the Sortino Ratio

Calculating the Sortino Ratio

Predicting Loan Defaults with and

Predicting Loan Defaults with and