Financial industry has been catching up on the Big Data revolution recently, and the key players have been bulding infrastructures and changing their environments to make sure they're technologically well-suited for it. Mid-sized and small-sized firms (regional banks, brokerages, asset management firms, algorithmic trading firms etc.) are moving faster in adapting these technologies, simply because they're more nimble than their larger competitors.
Aside from using analytics capabilities in large scales of data, the financial services industry has to also be aware of the regulatory and compliance issues involving data. Increasingly, these aspects have been starting to get integrated into big data platforms, and is expected to be the norm in the near future.
With the help of Experfy's courses, you can gain extensive knowledge and skills in the most important topics involving big data in the financial services industry. These include:
Whether you're a manager, an industry professional or a recent graduate looking for a career in the financial services industry, Experfy's demo-intensive courses can help you get up speed with modern data-driven methods and help you gain the skill set to apply them in real life problems.
According to Indeed, the average salary for a financial services industry professional with data science skills is $115,000/year.
Get to know how to build a predictive model!
The course presents in detail the traditional and modern sophisticated derivations, techniques and computing methods utilized to mathematically describe & quantify, which are furthermore used to successfully apply trading of these financial instruments.
Dr. Darshan Desai
This course will give you a conceptual understanding of customer value and churn prediction in general.
A comprehensive guide to insurance technology and its digitization efforts
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