Contact Us
×

Author: Imarticus Learning

Learn NLP: How are chatbots created?

Posted on by Imarticus Learning

Chatbot, conversational bot, Artificial Intelligence assistant, intelligent virtual assistant, conversational agent, digital assistant, conversational interface, we find endless names, some more accurate than others, to refer to this technology. Experts do not agree on which one is the best or what subtle differences there are between each one, but what is clear is that they are everywhere.

Conversational assistants answer countless questions and tasks, such as buying a train ticket, knowing the stock of a product in a store, buying movie tickets, ordering food at a restaurant, or checking the weather in your city with the mobile.

It is common to use Machine Learning and Natural Language Processing in Artificial Intelligence to create these chatbots, achieving that, based on examples, they are able to detect what the user needs through text and to maintain a conversation with concrete and coherent answers. With the CIBOP program from Imarticus, get an opportunity to learn more about chatbots and how Natural Language Processing with python can achieve this.  

Types of Chatbots

Although it is clear that these machines have the purpose of making our lives a little easier, there are different types of chatbots depending on the purpose they have:

  • Some assistants have the purpose of maintaining an unstructured conversation, imitating those of the people. A good example of this is BlenderBot, from Facebook, designed to be able to carry on a conversation as if it were a human: with its own personality, showing empathy, knowledge, feelings, etc. 
  • Others are designed for short conversations and are also capable of solving certain specific tasks. For example, Apple’s Siri, which is capable of following short dialogues and responding to tasks such as sending a message, setting an alarm, or searching for a song.
  • Another type is chatbots specialized in specific tasks for specific domains. These are tools that provide solutions to limited complex problems, such as booking a flight, ordering food, analyzing health problems, or, for example, buying a train ticket. 

Normally these chatbots use Machine Learning and Natural Language Processing techniques to provide solutions and respond to user needs. 

Within the Natural Language Processing techniques, they need the understanding of natural language (NLU) to understand what the user has said and to be able to respond to it (for this, they use the intentions, entities, and dialogue flows). On the other hand, using natural language generation (NLG) they are able to return answers prefabricated or custom responses through, for example, query databases.

Steps To Create a Chatbot

But the important question that arises here is how do you create a chatbot? There are platforms that help to design a conversational agent, analyze data from conversations, search databases, or train chatbots in a relatively simple way. Some of the many available on the web are Language Understanding (LUIS) of Microsoft, Google Dialogflow, or Watson Assistant IBM.

These tools are usually based on intentions, entities, and flows of dialogue to build conversational agents. By integrating Natural Language Processing with python, chatbots can be specialized in specific tasks depending on the demand. We, at Imarticus, offer Natural Language Processing courses to learn and create chatbots.

Is a Chatbot the Same as a Virtual Assistant?

Some specialists believe that what differentiates a bot from a virtual assistant is the high degree of customization of the latter. In this way, while the chatbot is the face of a company, to whose codes or particularities the user has to adapt to achieve their goal, it is the personal assistant who adapts to the user and not the other way around. 

Promoting digitization in the commodity industry with blockchain in Fintech

Posted on by Imarticus Learning

Gone are the days when visiting a bank was the only way to make a financial transaction. At present, people can easily make financial transactions with just a few taps on their smartphones. The rise of fintech has helped people make financial transactions while sitting on their couches.

Have you ever wondered what technology stack makes fintech possible? Well, blockchain is one of the primary technologies used by the fintech industry. Many young enthusiasts go for a blockchain certification to enhance their skill set. Read on to know how blockchain in fintech is prompting digitization in the commodity industry.

Role of blockchain for financial technology

Blockchain is among the new-age technologies that are decentralized. Financial transactions in the commodity industry have become more secure with blockchain. The costs incurred by companies in the commodity industry for financial transactions are also reduced with blockchain.

best Fintech courses in IndiaCompanies in the commodity industry have started to realize the worth of blockchain experts. They are proactively hiring individuals that have blockchain certification. Some of the use cases of blockchain for fintech are as follows:

  • Since blockchain is a distributed technology, single points of failure that disrupt the entire system do not occur. There is no work for any intermediatory in a blockchain-powered transaction. The need for transfer agents is reduced since the introduction of blockchain. Blockchain-powered transactions are nearly impossible to be hacked or manipulated. 
  • Blockchain is a shared platform that enhances the transparency of network participants. The best part of a blockchain network is that participants can only see the financial transactions. Under no circumstances, a participant can change the financial transaction on a blockchain network. 
  • Due to its transparency, blockchain helps network participants to collaborate and access financial/transaction data. Opposite parties can come to an agreement quickly due to the transparency of a blockchain network. 
  • You can create tamper-proof software to support your business logic as blockchain offers high programmability. Blockchain also allows businesses to share data selectively to maintain privacy. According to stats, blockchain offers around ten times more cost benefits than other technologies for making financial transactions. 
  • Blockchain is a scalable technology and can adapt if the number of fintech transaction increase considerably. Each company in the commodity industry gets a global reach with blockchain and fintech. If there are periodic surges in the transaction activity, blockchain is capable of handling them.

A company in any commodity industry can go global and indulge in cross-border transactions with blockchain. Products offered by different companies in the commodity market are more or less the same. Different companies in the commodity industry compete for price with each other. When a company reduces costs incurred in making/managing financial transactions with blockchain, it can provide discounts to buyers.

If you are working in the commodity industry, a fintech course with blockchain can help you upgrade your career. Companies in the commodity industry are also focusing on hiring employees that have done a fintech course. Blockchain and fintech experts can help companies in safeguarding their financial transactions.

best Fintech courses in IndiaWhy choose Imarticus’s fintech course?

We offer a PGDM, MBA, and certification course for financial technology. Fintech courses will help you in learning the tools and technologies used in the industry. Among all the technologies used in the fintech industry, there will be a focus on blockchain. We also offer placement support to students who choose our financial technology courses.

You will work on several real-life projects during your fintech course. Not only you will learn industry practices, but also learn job-relevant skills with a financial technology course. Start your fintech course to make financial transactions in the commodity industry secure!

Is it possible to become an investment banker with an Online MBA?

Posted on by Imarticus Learning

An investment banker at a high-profile company is a dream job. Getting an MBS degree from a top university will surely open a path in this way. Most of the leading investment banks look for eligible candidates at the top MBA universities and colleges. It means that it is possible to become an investment banker with an MBA so an online MBA is also valid. This is why the demand for an online MBA in investment banking is trending. 

Online MBA Program

An online MBA course may last for a few months to two years but the two-year will be more credible and recommended.

Here, we will see how to find the best online MBA course to be an investment banker and other tips. Before we see that, let’s see the role of an investment banker.

Role of an investment banker

An investment banker is one of the key players in the financial department who is capable of identifying the risks associated with the financial operations of the institution. Acquisitions, sales, mergers, documentation of planning for the companies to go public, etc are a few of the other requirements of an investment banker job. 

It is a high salaried job profile but comes with high stressful situations and demands. If you can overcome all these, what awaits at the end is a bonus, extra remuneration, and faster career growth. It gives you an opportunity to stay in touch and work with the highest players in the financial world. 

How to become an investment banker?

Landing an investment banker job needs sheer determination to excel at the necessary academic and personal skills. Choosing the right online MBA course is the next step. It is important to choose a course that can offer internship, mentorship, and real-time experience while studying. While doing so, widening your network will be a bigger playoff. Both in-person and social or digital connections are counted. Getting a few years of experience, 1-2 years will definitely be an added advantage here. 

There are online courses for MBA in investment banking that give such opportunities. Courses such as MBA In Investment Banking & Equity Research by Jain University are a strong recommendation. 

To become an investment banker, most of the time spent at work will be in communication with the clients or institutions. Interpersonal skills like communication and decision-making skills are essential to being an investment banker. Technical skills and knowledge in the fields of accounting, finance, and mathematics are also necessary. A good course will cover all these departments. 

How does an online MBA course work?

These online courses like the JAIN MBA course will be through live classes, pre-recorded sessions, discussion forums, and self-study material over two years. There will be semesters and each of them concentrates on specific areas.

Students will be able to choose mentorship that is conducted over the weekends. This will help polish their skills in several areas and for getting proper guidance from the experts. There will be people who can guide you on the right professional path. Mock tests and other additional facilities are also available with these online courses. 

Conclusion

An investment banker is just a simple term used for a collection of job profiles such as Money Market Analyst, Global Finance Researcher, Financial Market Advisor, Corporate Banking Treasurer, Regulatory Reporting Analyst, etc.

best MBA online courseEach of these profiles is prospective high salaried jobs or the ones that open up better professional growth. Many of the online MBA courses have a part-time curriculum to suit professionals. SO, make use of this wonderful opportunity to boost your career on the right path. 

4 best programming languages to learn for Cybersecurity

Posted on by Imarticus Learning

If you are here and you are interested in the world of programming, you are probably already a programmer or your dream is to become one, whatever your case is, this article will help you. We are going to tell you the keys to choosing the ideal programming language to learn, and we will give you the basis to learn about cyber security training courses, Cybersecurity course, and Learn Ethical Hacking, all taught here at Imarticus. 

Key factors for choosing a programming language

First is syntax, simple syntax, easy to understand. The syntax is the way you write, how many lines you use to write an instruction, what symbols you use. There are languages that with a couple of lines of code you do the same as others with 20 lines.

Secondly, a friendly development environment. A development environment is the whole set of tools that you are going to need to program, without those tools configured you can’t program, in some languages you have to install several things, you have to configure environment variables.

Thirdly, that it has a large community, and that it is open source. It should have a large community because when you have doubts and problems you will find people willing to help you or people with the same problems as you, so you won’t feel alone and you won’t get demoralized.

Fourthly, that there are job opportunities. It is true that as programmers we also like to create projects for our own personal pleasure, non-profit projects. That’s true, it’s not bad, but who doesn’t like to have their work rewarded and to have a better quality of life because of your knowledge.

That’s the goal in the end, so a language that doesn’t have much of a market, many job opportunities, it’s not going to do you much good to learn it. Everyone has job opportunities, but it will depend a lot on the sector in which you want to work. For example, the same language can be used for the web, or maybe for mobile development, or maybe for desktop, or for video games. Be careful because there are languages that have only one area of application, they are very limited.

In short, simple syntax, friendly development environment, community, open-source, and job opportunities are the main factors you need to analyze to choose a programming language.

The 4 programming languages we recommend

  • Python: The language we recommend you start in the world of programming is Python, it is one of the most popular and most used languages in the world, in fact, it leads all the rankings along with JavaScript. 
  • JavaScript: JavaScript has a peculiarity, and it is that you don’t need to install anything to use it because it comes already inside the browsers, so to speak, that is to say, that with a browser you can already use JavaScript to learn how to program. 
  • SQL is the language of relational databases. Database administrators, developers, and end-users write queries in SQL to retrieve, insert, update and delete information stored in database tables. Attackers also use this language to steal sensitive information, disrupt data stores and perform a variety of web-based attacks. If you want to understand attacker activity and prevent SQL injection and other database-related attacks, you will need at least a basic understanding of SQL. 
  • C language: This is the last of the programming languages that we present to you. It is not so well known at a user level, but we recommend it for its variability and the fact that it can be used to create practically everything, from mobiles to servers, desktop apps to video console applications.

Conclusion 

If your dream is to be a programmer for the Cybersecurity world, you are probably full of doubts, full of questions, you don’t know which way to go, there are so many languages, there are so many technologies. What do I do, where do I start? Don’t worry, here at Imarticus we offer you cybersecurity courses and cyber security training courses where you will also learn Ethical Hacking meant for cybersecurity. Visit our site today and start your Cybersecurity career!

Which marketing strategies should you use to retain customer confidence in your business?

Posted on by Imarticus Learning

Which marketing strategies should you use to retain customer confidence in your business?

You will never know what marketing strategy is best for you until you try it. Some strategies work well than others, depending on the type of company and industry. If you need to make a permanent impression with your customers, read this blog post and learn how to use the right marketing strategies for your business.

  1. Gain Feedback from Your Clients

Requesting for feedback is the best way to see how your consumers see your business and whether or not you are so long as they are with the service they want. It should be easy to accomplish since you already have the contact information of all of your customers. Just reach out to them with a survey or ask for their opinions in person.

  1. Create a Credible Blog

Use your blog to create awareness about the great things happening within your company. If you already have a blog, then be sure to update it regularly with new information that will keep consumers interested. It is an excellent way to build trust with your customers because they know you care about their concerns and opinions.

  1. Emphasize Your Service

Your marketing strategy should always emphasize the services that you provide for your customers because happy clients will keep coming to your business in the future if they are satisfied with what you did for them. For example, a dentist should not spend money on a new marketing campaign. Instead, they should spend the time and money improving their services to achieve success in the long run.

  1. Generate Positive Buzz on Social Media

A great way to promote your company is through social media because it opens doors for you as a business owner and gets your company more recognition from consumers. Incorporating your services into social media posts is crucial to allow consumers to feel connected with your business.

  1. Provide Exceptional Customer Service

Customer service should be your main priority, so every decision you make throughout the day needs to be focused on improving it, especially if there are problems or concerns within your company. When your clients are satisfied, they will be happy with your business. Create marketing strategies that resonate with consumers and provide them with valuable information useful for them daily. Consumers pay attention to what conveys throughout the media, so it would be beneficial to do something that will make you stand out.

Explore and learn digital marketing with Imarticus Learning

This certified digital marketing course is for industry experts that allow students to work on several specific projects. This curriculum is developed with current marketing trends and gives the student tremendous growth in their digital marketing career. Digitas operates as an industry partner where students get a perfect curriculum of 120 hours with practical projects and in-depth learning.

Some course USP:

  • This online digital marketing course for students aid the students to learn job-relevant skills.
  • Impress employers & showcase skills with the best digital marketing training endorsed by India’s most prestigious academic collaborations.
  • World-Class Academic Professors to learn from through live online sessions and discussions.

Contact us through the live chat support system or schedule a visit to Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, and Gurgaon training centers.

Does a Tableau Certification Really Matter? Here’s What You Need To Know

Posted on by Imarticus Learning

Tableau presently offers five different certifications. Here, we’ll go through each one, their distinctions, and the necessity of combining them with the Data analytics & machine learning course that we provide at Imarticus in order to get a decent Tableau certification salary.

What does it mean to get certified in Tableau?

Certification in any tool is a method to add proof of your abilities to your resume. As we develop in our usage of the tool and strengthen our analytical skills, the different levels assist in establishing a step-by-step approach to building our framework of possibilities with it.

Once we’ve determined it’s time to earn a Tableau Certification, we must follow what Tableau refers to as Exam Guide Prep, which is a series of instructions or recommendations that must be followed before taking any of the three levels of Tableau Desktop or the two levels of Tableau Server. 

big data analytics courseCertification Format

You may download the certification preparation guide from various pages to go over the different points on what is actually necessary to consider so that you can walk into the test with the best possible preparation. This is a $250 fee-based certification that is valid for two years from the date of purchase.

First and foremost, the test consists of a total of 36 questions that must be answered in two hours. These 36 questions might come in a variety of forms:

  • Practical questions (or Hand-On Questions): These are questions in which the statement indicates which file we must utilize (it’s in a folder on the virtual machine’s desktop) as well as the analysis’s real query. The use of level of detail (or LOD) expressions, table calculations such as the difference from, the difference in percentage from a ranking, or even a moving average calculation, and, finally, answering the question using different graphs such as a Bullet Graph, a Pareto Chart, or a Box and Whisker Plot are all examples of these types of questions. 
  • Theoretical questions: These may be divided into two categories: those in which we are asked if the argument is true or wrong, with only one potential answer, and those in which we are asked to choose all that apply, in which case more than one answer is required to respond correctly. These questions cover a wide range of topics, including how to use various data sources in Tableau Desktop, different types of computations or ways to integrate data in the tool, and various actions and tools that may be used to get the most out of Tableau’s interactivity.

The minimum passing score for the certification is 75%, which must be achieved on both types of questions that a candidate may encounter on the test. However, not all questions on the test are equal in value; those with practical substance will be the most useful, followed by multiple-choice questions with theoretical information, with true/false and single-choice responses coming in last. It’s worth noting that Tableau requires all potential options to be picked for the right response, thus a partially accurate answer will not get you any points.

The test is 2 hours long in total, although it is advised that a longer time be allocated in case there are additional duties relating to the virtual machine’s configuration and for the proctor to ensure that everything is in order before beginning the exam.

Skills to be Assessed

These four abilities will be examined during the exam, according to the Tableau Desktop Specialist study guide: 

  • Connect to and prepare data 
  • Exploring and analyzing data 
  • Sharing information 
  • Understanding Tableau concepts

Conclusion

Data literacy is more critical than ever before. There’s always something new to learn at college, whether you’re a freshman or a senior. Here at Imarticus, we encourage all our students taking the Data analytics & machine learning course to learn Tableau to access the Tableau certification salary in the market today. Come and visit us at Imarticus to learn more about Tableau Certification.

Is Machine Learning the Best Way To Grow a FinTech Company?

Posted on by Imarticus Learning

With the financial world in a constant state of disarray and uncertainty, technology becomes the saving grace to navigate through the complexities and resolve the problem of predicting what’s next to come.  While concepts like neural networks and fuzzy logic may require companies to raise their budgets in terms of technology and experts, the truth is the payoff is massive. Let’s take a look at some of the uses machine learning can have.

Stock Price Movements

Using the right tools and algorithms with the best learning-testing schemes can help in creating a perfect portfolio for predicting price movements in a multivariate environment. Several online binary options trading platforms, as well as options trading platforms, are now employing such methodologies in delivering solutions with more refined figures.

Loans, Insurances, and Interests

The average person doesn’t have the time or interest to properly gauge the various schemes for loans and insurances and compare the numerous differences between different plans.

Machine learning helps in delving deeper into these data frames in a more meticulous fashion that gives them an edge over what even the most successful of speculators can do.

Deep learning algorithms can dissect the nooks and crannies to discover possibilities of risk, fraud, and other factors that may affect the decision-making steps of loans, insurances, and the interests associated with them.

Also Read: What’s Machine Learning All About?

Protecting Systems

Machine learning has become even more famous in the sector of biometrics to create systems that have stronger security protocols and entry methods with augmented identity confirmation steps.

One such pioneer is Aimbrain whose machine learning algorithm becomes a part of the user’s interaction online and keeps track of everything from typing speed to click-rates and even how the user reacts to content. Any sign of an anomaly will immediately result in the system asking for a facial or voice confirmation.

Fintech companies have benefitted in using machine learning for cybersecurity purposes as well such as DarkTrace whose AI learns the mechanisms of the human immune system in replicating similar defense strategies against network attacks in servers.

Accounting and Record-Keeping

Verifying statements, transactions and records is a crucial part of Fintech companies which rests upon the accuracy of data. Machine learning algorithms cut down on the time which would normally be much longer for a human. The modern-day software even allows for better accuracies with minimal human error for just an additional fee and allows users to process data across various data formats, thus ending the conundrum of incompatibility as well.

The Cube system developed by Duco, for instance, lets companies and users work on any data, in all formats in mere minutes. Data can be loaded instantly, compared, and debugged quickly without passing it over to separate teams.

Brokerage Firms

Simple AI learning algorithms have been in brokerage firms to draw results from arbitrageurs and speculators as well as investors looking for a nice deal. Traders often set predefined tasks such as price setting, short selling, buying long stocks, selling long stocks, buying short stocks, selling short stocks, hedging, risk management, portfolio evaluation and much more.
As the trading floors become more replete with machines that replace the crowded nuances of stockbrokers, machine learning will help in finding correlations and patterns which are otherwise unknown to those in the financial services sector. Even on the battlegrounds of Wall Street, Trafalgar Square, Bombay Stock Exchange and Silicon Valley, better results are guaranteed to those with advanced deep learning systems.

Banking Regulations

Banks often set aside certain capital as part of regulatory implementation without which they wouldn’t function with much profit. Such regulations are instilled to introduce risk control measures, keep a steady supply of capital and make the financial sector more transparent to users. Such drastic demands require technology that has drastic tools and measures.
Machine learning comes to their aid by providing real-time insights into any issues, warning them about any impending risks, and identifying any regulatory problems beforehand. Breaches, phishing, thefts, forgeries, and scams become a thing of the past as machines filter through data at great speeds to keep decision-makers ahead in formulating more effective strategies.

The promise of technology in any sector has always been that of awe and hope. Machine learning’s best use comes to those in FinTech Course who have the proper investments in the best machines with the best technology with the adequate amount of workforce behind it to create meaningful decisions.

Critics of machine learning may dismiss it by calling it another step in a totalitarian regime where machines rule, but such technologies will inevitably become an indispensable part of our lives to account for a rapidly growing population that generates unlimited data each day. The signs point towards the same direction that machine learning is the way to go for any FinTech company.

Related Articles:

What Would You Need To Become a Machine Learning Engineer?
7 Key Skills Required For Machine Learning Jobs
What is The Easiest Way To Learn Machine Learning?

Is IoT Interoperability a problem?

Posted on by Imarticus Learning

If you think there is still a long way to go to meet and solve the challenges of the Internet of Things in today’s networks, think again. We at Imarticus believe the challenge is here now, and it is time to start working on overcoming it with the skills you will gain through our Certification in Software Engineering.IOT 

Each day there are more and more companies and administrations that bet on interoperable systems, given their vast advantages. However, we must first look at what relationship exists between IoT and interoperability. To understand its relevance, let’s delve a little deeper into the concept. Interoperability is basically the ability of different systems or their components to communicate with each other or exchange data and information, regardless of their manufacturer or technical characteristics.

The real importance of having interoperable systems is because they greatly facilitate the joint and orderly use of IoT analytics in the management of all company information. In fact, to have a secure, agile, and intelligent IoT infrastructure that delivers value, reduces costs, and is scalable, interoperability is key.

Interoperability: A key factor

Well now that you know a little more about the concept of interoperability, it is the perfect time to discover why it is a key factor for the success of the IoT and cloud computing. For starters, it’s the technology that supports the transformation of the way we work, live together, and interact.

IoT platforms follow open architectures, capable of connecting multiple and varied components and devices. It should be noted that due to the continuous evolution of the environment and the characteristics of these cloud computing platforms, the daily inclusion of new applications and devices is easy. This type of open architecture makes it easier for the components to work together and to work within the omnichannel infrastructure of the company, aligning and synchronizing all areas of the company.

But not everything will be simple. The Internet of Things can develop in so many areas and finding so many applications that it may find in its own diversity is the main obstacle to its growth. As in an environment in which countless devices of different nature and technical profiles will operate (from household appliances to wearables, autonomous vehicles to drones, etc.), manufactured in turn by thousands of different brands (each with its own standards), developing the ability for all of them to communicate with each other will not only be a technical challenge, but also a matter of consensus. Therefore, IoT interoperability emerges as a major need for the development of the Internet of Things.

Understanding the importance of Interoperability

To understand the importance of interoperability, take the example that two IoT devices need to send any kind of information to each other and are not able to do so because they “speak a different language”. 

To give a more concrete example, imagine you are traveling in an autonomous vehicle, and it must communicate with other vehicles it encounters on the road to coordinate its movements for safe driving. What if they could not do so because incompatibility between brands made it impossible to exchange information? In this type of situation, even people’s lives could be endangered.

In Conclusion

It is because of this type of situation that interoperability is essential for the proper development of IoT and cloud computing. This is a problem whose resolution compromises the future of this technology, and which will have to be solved to allow its expansion.

best software engineering courses

At Imarticus we offer a Certification in Software Engineering, providing the essential skills required to understand how to implement the IoT analytics solutions required to solve these pressing interoperability problems.

Feasibility of cryptocurrency regulation in India and its impact on the banking and finance sector

Posted on by Imarticus Learning

Gone are the days when people didn’t understand the concept of digital currencies. At present, the cryptocurrency market is growing continuously at a rapid pace. The Indian cryptocurrency market is also growing rapidly even though there is a need for a proper regulatory framework. Studies have proved that the Indian cryptocurrency market is the second largest in Asia. India is among the top ten nations in the world that have a huge market for cryptocurrency. 

Many cryptocurrency platforms in India allow users to trade. There is a separate rule for banks and financial institutions in India regarding cryptocurrency services. Financial institutions in India must follow the regulations to avoid any legal hassles. Many firms in India require cryptocurrency services for trade finance and foreign investments.

trade financeFinancial institutions should refer to the cryptocurrency regulation in India before indulging in crypto-aided trade finance or investments. Read on to know the impact of cryptocurrency regulation in India on the banking and finance sector. 

Overview of the crypto industry in India 

India never had a well-drafted regulatory framework for crypto trading and services. Since there was no regulatory framework, Indian firms engaged in crypto trading actively. However, it all came to a halt in 2018. In 2018, RBI (Reserve Bank of India) released a circular that restricted Indian banks to provide services to crypto firms in India. This circular quickly grabbed headlines and was a headache for crypto firms in India. 

Most of the crypto firms in India shifted to foreign countries in 2018 as none of the banks will provide the services as per RBI. Some crypto firms continued to operate in India after the circular by using the peer-to-peer settlement method. Many banks that overlooked the order of RBI received notice letters in 2018 for providing services to crypto firms. Even after many crypto firms shifted to foreign countries, there were many left in India. The decision of the RBI was challenged in the supreme court of India by the concerned industry. 

In March 2002, the supreme court said that RBI’s decision of barring banks to provide services to crypto companies is not logical. The supreme court believed there were no negative effects of cryptocurrency on the Indian economy and native currency. Since RBI could not show the negative effect of cryptocurrency, its decision was overturned by the supreme court.

Current scenario of cryptocurrency regulation in India

 After the supreme court lifted the ban on banks in providing services to crypto firms, RBI spoke on the matter on the 25th of January 2021. It said that it was exploring whether cryptocurrency is of any use when native currency is in place. It is believed that the government may pass a bill in the parliament soon for the regulation of cryptocurrency in India. Many reports say that the Indian government plans on banning cryptocurrency in India. Inside reports say that the government will replace cryptocurrency with CBDC (Central Bank-backed Digital Currency).

In all cases, the digital currency will likely remain in India, even if in some other form. Banks and financial institutions should engage in crypto transactions carefully as there are no clear instructions from RBI and the government. A banking and finance course after graduation can help in knowing more about the regulatory framework. 

How to know more about new-age banking?

Imarticus offers a banking and finance course after graduation for young aspirants. Its PGP in New Age Banking is perfect for working professionals.

Imarticus offers the finance course with placement support to help young individuals kick start their careers. NMIMS is also the certifying body of the new-age banking course. Start your finance course with placement now!

Want to Become an Anti-Money Laundering Specialist? Learn More About Job Roles

Posted on by Imarticus Learning

Financial institutions have to pay special attention to each customer and transaction to identify any fraudulent activity. A bank that has strong anti-money laundering policies will prevent people from depositing illicit money into any bank account.

Security policies are the main concern of financial institutions if they want to stop losses. Not only the financial institutions, but the government is also strict when it comes to money laundering.

Young enthusiasts that are looking to build a career in banking/finance should learn anti-money laundering skills to earn a better job offer. Read on to know more about anti-money laundering and different job roles in the industry.

Understanding money laundering via financial systems

In the money market, many criminals try to coat the source of their incomes. You cannot deposit money obtained from any illegal activity in banks. Money laundering hides the source of the black money and makes it white. The dirty money is moved around in a financial system and, multiple transactions are made to confuse the bank officials. It also includes depositing black money in small amounts or transferring black money to a foreign country.

best investment banking courses with placement in IndiaOnce the dirty money is cleaned via money laundering, criminals can use it to finance criminal activities.

It will not only affect the financial institutions but also affects the country and the citizens.

Financial institutions have strong AML (Anti-money Laundering) policies in place that stop criminals from depositing money.

Performance areas of anti-money laundering jobs

The day-to-day job responsibilities of anti-money laundering professionals in banks are as follows:

  • Anti-money laundering experts have to analyze the money market and uncover the pertaining risks within the financial institution. They are also involved in identifying and monitoring suspicious bank accounts or transactions.
  • Anti-money laundering experts are aware of the current alerts generated by the law enforcement authorities. Many times, they help law enforcement to catch a money launderer.
  • Procedural vulnerabilities and loopholes in the financial system are identified by anti-money laundering experts. All those areas that can be exploited by money launderers are identified by anti-money laundering professionals.
  • Anti-money laundering professionals also offer expert advice to financial executives for maintaining high-risk accounts.

What are the job roles in Anti-money laundering?

The financial market is complex and, criminals are also using advanced money laundering techniques. There are different types of anti-money laundering jobs that work together to stop the movement of black money. The top types of anti-money laundering jobs are listed below:

  • Junior Compliance Administrator: People who join the AML industry become junior compliance administrators. They have to carry out routine AML checking and administration of compliance processes in the bank.
  • Risk & Compliance Officer: A risk & compliance officer will be involved in KYC (Know Your Customer) activities. The risk officer is also concerned with CDD (Customer Due Diligence).
  • Fraud Investigator: Fraud investigators uncover the source of fraud in any financial institution.
  • Chief Compliance Officer: It is responsible for forming better AML policies for the financial institution.

How to learn more about AML?

Many young bankers are choosing online risk management courses to know more about AML. The Certified Investment Banking Operations Professional course offered by Imarticus can be the right choice. This course will teach you about financial markets and risk management. You will also go through case studies to know more about real-world AML processes.

Conclusion

In this digital era, criminals are conducting complex money laundering attempts. To stop those attempts, banks need expert AML professionals in the coming years. With an online course in risk management, you can learn the required AML skills. Start your risk management course now!