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Data Science for Financial Services

Banks, insurance companies and trading firms are in the midst of a data-driven revolution, and those that leverage AI intelligently will win. From mitigating risks proactively, to creating personalized customer services, we help Financial Services harness the power of AI to create differentiation and transform their bottom line.

Prevent Risk and Personalize Services

The Iguazio MLOps Platform for Financial Services enables companies to develop, deploy and manage AI applications, transforming AI projects into real-world business outcomes.  With Iguazio, organizations can build and run AI models in real time, deploy them anywhere (multi-cloud, VPC or on-prem), and bring to life their most ambitious data-driven strategies for differentiation and risk mitigation.

Mitigate Risk

Mitigate Risk

Proactively detect threats before they occur, prevent fraud, money laundering, cyber threats and other risks to your business by understanding patterns of illicit behavior and acting to proactively prevent risks.

Personalize Services

Personalize Services

Give your customers what they want - The right offer at the right time - Using advanced AI algorithms that take into account billions of data points, in real-time.

Feature Engineering Made Simple

Optimize Trading

Digest data at scale, detect anomalies in real-time and collaborate securely on AI algorithms within your organization to save precious milliseconds and get the best results.

Network Optimization

Improve Operational Efficiency

Predict customer profitability or risk, detect system failures before they manifest, model and optimize asset allocation.

Data Science For Financial Services
Data Science For Financial Services

Payoneer Case Study: Predicting and Preventing Fraud

Digital payment platform Payoneer serves 4 million customers across over 200 countries. So naturally fraud is a major concern. With the Iguazio MLOps Platform, Payoneer overcomes the challenge of proactively detecting fraud within complex networks, with sophisticated algorithms tracking multiple parameters. The financial firm serves these complex algorithms against fresh data continuously, in real-time, detecting patterns of suspicious behavior and acting upon them before they materialize.

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