What are the chances of you getting into purely data science based roles in an enterprise company that builds AI, SaaS and Cloud solutions for Banking and Credit lending industry? In 2021, it’s 100%. A few years ago, the chances would have been in single digits or even zero -- that’s the kind of difference a data science certification has made to banking jobs. Today, more than 30% of the banking jobs are filled by candidates who have at least on specialized degree from data science certification program, and the numbers are expected to swell by 2025.
If you are looking for a banker’s role and still want to do data science training, here are the top performing areas you can aim to include in your bio data.
Mobile Personalization
Apps are lifeline of the banking industry today! Without a credible app that can identify the clients and offer them services, a majority of the brick and mortar bank and corporate financial services agencies would have lost business during the COVID 19 lockdown. Luckily, banks are the top adoption centers of data science apps and platforms. Data science certification would cover in depth the nuances of mobile personalization using advanced Big data and analytics.
Credit card Fraud Detection
If you are in the credit currency industry, there are chances you would be dealing with lot of fraud data and risk mitigation projects. Credit card is the number one target for ransomware and data theft agencies who steal credible customer data from unwarranted sites and cloud data centers. As a trained data scientist with experience in credit industry, you would be entrusted to use AI and Machine Learning algorithms to identify, prevent and block such surface attacks. By implementing Python based AI ML cyber threat intelligence software, you can save the industry trillions of dollars in a year!
RPA based Back end support
RPA is a 100% outcome of human intelligence moving mountains using machine intelligence and computer science. We call it the power of RPA.
Back end banking platforms are hugely congested due to complex filing and taxation norms. By using text analytics platforms, bankers can ease the back end operations by 90%. AI ML platforms are available in the SaaS markets that automate document filing, storage and protection. They can generate and store complex files in the formats that you need as a banking professional. Training in data science simplifies the entire back end management process, as you are in a decision making position to convince the CIOs and Chief Data Officers about the benefits of having automated back end support systems.
Customer Identity Management using Biometrics
This needs no introduction as 90% of mobile app users in banking sector know about fingerprint recognition and iris scan technologies. But, did you know that 90% customers are reluctant about the security of biometric information. A course in data science would enable you to build customer training kits that simplify this process.