Data Science in Financial Services.

Leverage big data analytics to develop competitive advantages and increase efficiency and effectiveness.

Data science has given rise to a financial revolution known as Fintech. Fintech has thoroughly transformed the financial world by facilitating the use of big data and complex calculations to decision making. Accuracy and predictability have been improved across organizations by the use of data science in many fields.
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Indeed, leveraging Big Data Analytics can bring numerous benefits to financial firms on many aspects, including:

Risk management: monitor suspicious activity, device identification, biometrics, authentication solutions.

Bank performance forecasting (regulatory stress tests)

Trading monitoring and surveillance (detecting system errors, insider trading, fat fingers, front-running, wash trading, quote stuffing)

Investment management: automated advisory solutions, combine various data points, visualization tools. Credit scoring: gather data from multiple sources and quantify qualitative aspects.

Customer acquisition, retention and loyalty: focus on digital channels to acquire, create 360° view on clients, in-depth analysis of payment and purchasing habits, develop personalized offerings.

We have developed capabilities in the following four areas to help our financial services clients add intelligence into their current way of using and analyzing their data:

Data analysis and manipulation
Explanatory and predictive modeling
Reporting – visualization

Data Science can also help your project, program and portfolio management organizations develop real-time and predictive analysis that will support resource forecasting, capacity management, demand management, and resource allocation processes.

Dynamic reporting, analytics and dashboard tools need to be developed and constantly enhanced to help your organization deliver projects, more effectively and efficiently, in an increasingly complex and data-driven environment.

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Arrayo provides financial services firms with both industry-specific and data science expertise that will help them develop multiple competitive advantages in critical areas (payments, risk management and fraud detection, marketing etc.) and deliver projects with increased efficiency and effectiveness.