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 empower decision making. Accuracy and predictability have been improved across organizations through the use of data science.
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Leveraging Big Data Analytics can bring numerous benefits to financial institutions:

Risk management: risk identification, assessment & quantification, mitigation and response.

Bank performance forecasting (Scenario analysis, forecasting, and regulatory stress tests)

Trade monitoring and surveillance (Controls monitoring, 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.

Becoming customer centric to drive customer acquisition, retention, and loyalty: focus on digital channels; create a 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 evolve:

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.