Why Do You Want To Join Fintech?

What is Fintech?

The word Fintech is an amalgamation of Finance and Technology and that’s what the Fintech industry is all about. Fintech can be seen as the evolution of the traditional banking and finance industry. It’s more about solving the challenges faced by the traditional banking and finance segment using cutting-edge technology.

The technological evolution in the financial services industry aims to automate and improve the services provided by banks and financial institutions. Fintech technology can help big businesses to manage their finances easily and curb any anomalies that exist in the system.

Fintech has been a boon for the consumer of banking and financial services as it has improved customer satisfaction and worked on the pain points of consumers. It integrates technology to offer financial services in an optimized way. It has made businesses more customers oriented and has reduced the daily hassles of the consumers.

Originally Fintech operations were limited to the backend of reputed financial organizations, over the years the scope of Fintech has broadened and now it includes other industries such as retail banking, crowdfunding platforms, NPOs, digital wallets, etc. Fintech also entails the formation and use of blockchain-based cryptocurrencies like Bitcoin.

The financial activity that uses Fintech in today’s digital era is enormous. From simple smartphone transactions to raising funds for businesses and managing investments, a whole lot is under the purview of Fintech.

Why should you choose Fintech?

Now that we have understood the meaning and scope of the Fintech industry, let’s delve deeper into understanding why you should choose a career in Fintech and how it will be beneficial for you in the long run. Fintech is among those industries that will reshape our lives in the coming decades. The Fintech industry relies heavily on the use of data and data science.

The scope of employment in the field of data science is enormous and is growing by the day. The Fintech industry is still in its nascent stage of development and has tremendous potential for exponential growth. Just think about the involvement of Fintech in our daily lives. From online shopping to education fee payments, Fintech brings a lot of convenience to customers. Let’s take a look at some of the key job roles that will continue to grow with the rise of the Fintech segment.

Why study Financial Technology?

As financial technologies emerge unceasingly, traditional financial industries are witnessing a dramatic change. The old-fashioned business skills are no longer satisfying enough to meet the new needs of the market. International financial centres are transforming, adapting themselves using the Fintech approaches, and of course, recruiting more and more Fintech related talents around the globe.

Blockchain developer

Blockchain is at the centre of crypto-currency technologies like Bitcoin that comes under the purview of Fintech. This is just one application of the revolutionary blockchain technology which will continue to grow in the coming years. Almost all finance companies will incorporate blockchain in their operations and they will need professional blockchain developers to build and manage the technology. This growing interest in the application and use of blockchain technology will fuel the demand for blockchain developers by companies.

Risk and Compliance

With the growth of Fintech, the traditional players in the banking and finance industry are joining hands with the Fintech players to provide improved services to their customers. Fintech has proved to be a game-changer and so the traditional rules and regulations have also been revamped to overview the operations of companies in this segment. Companies are employing risk control specialists and financial managers to take care of the changing risk and compliance policies.

Cyber-security

As we progress further in the digital era, criminals have also adapted to the changing circumstances and are leveraging technology to commit cybercrimes. Identity theft is among the most common cybersecurity challenges faced by businesses. To tackle these cybercriminals there is a growing demand for cyber-security professionals who could prevent the leak and loss of data from hackers and cybercriminals.

 

Why work in Fintech?

Fintech offers job seekers the chance to work in a highly collaborative and innovative environment. The Fintech industry offers not only an outlet for those seeking a creative challenge but also provides the opportunity for tremendous career growth and professional progression.

The world of Fintech is a great place to work while also growing your skill sets and building a sustainable career. 

The Fintech sector is fast-growing and constantly recruiting. Fintech companies look for a wide range of profiles, so chances are, whatever your speciality you’ll find something for you within the industry. Promotion opportunities are common in this ever-expanding environment, and certain companies offer very attractive employment packages to attract talent. 

A Fintech experience gives you the cutting edge over the competition in the eyes of a recruiter. If your dynamism, autonomy, curiosity, and confidence in facing big challenges are all tested during your visit within a fintech, you can only capitalize on these traits for your future experiences. 

What Are Career Options in Operations Management Have Diverse Scope?

No matter the size of the business in 2020, almost every organization needs a dedicated operations management team, who can not only effectively manage their operations but also make sure that regular advancements are made within the organization.

When you come to think of it, operations management as a profession is both an art and science. It is the art of managing people effectively with the help of science, and that is why this profession attracts people from different walks of life and trained in different skill sets.

Starting from procurement to management and from conversion to distribution, if an organization has an effective and well-trained operations management team in place, the organization can not only increase its profitability and productivity but also turn the wheels of the economy.

Operation Management course in IndiaRecently, the number of jobs available in the operations management industry has drastically increased, and experts predict that this trend will be a steady rise in the coming years as well.

Thus if you want to pursue a career in operation management, here are some of the many roles you can build skills for and apply.

Product Manager

One of the first and most sought-after roles in the operations management industry is that of a product manager. In simple terms, the job of a product manager can be explained as being a professional who has complete ownership of a product, right from the start, where it is sketched on a drawing board, all the way to its manufacturing and final distribution.

While the exact day to day tasks of a product manager may vary from organization to organization, some of the common responsibilities of a product manager are to survey and research the market to understand if it is a viable option, procuring the materials and the resources that will be needed to design and manufacture the product, creating a roadmap for the lifecycle of the product, and finally follow it up with manufacturing and distribution of the product.

Operations Manager

The second most sought-after designation next to product manager is that of operations manager. Similar to the role of the product manager, the exact day to day activities of the operations manager too changes from organization to organization, but it mainly revolves around the production, procurement, and delivery of services and products of the business.

In simple terms, the task or responsibility of an operations manager is to ensure that the efficiency of operations within the organization is optimized and constantly meets the standards set by the stakeholders.

Some of the most common responsibilities of an operations manager are as follows:

  1. Revenue Leakage Control
  2. Forecasting of Resources
  3. Processing of Invoices
  4. Mobilization
  5. Utilization Management, and many more.

Business Leadership Associate

A relatively new position in the industry, the designation of a business leadership associate is rapidly increasing in popularity. While these professionals can serve a variety of responsibilities within the organization, most of their tasks mainly revolve around commercial and operational performance, along with optimizing revenue growth and profitability of the organization.

Most of the daily tasks of a business leadership associate involve sit-downs with key stakeholders of the organization, which includes SMEs and business heads, to strategize, plan and forecast the future needs and wants of the organization, with the central aim of advancing the business on a daily basis and increasing its profitability.

Building budgets, conducting in-depth market research, keeping an outlook on competitors, and measuring efficiencies of the production line of the organization are some of the tasks they carry out on a regular.

Conclusion

The demand for professionals in the operations management industry is at an all-time high. While one of the main reasons behind this is the acceptance of people from various industries, another and more important reason is the diverse scope this industry provides into the future; so go ahead and enroll for an Operation Management Course today.

Magic off the Pitch: Role of Data Analytics in Cricket!

Cricket with 1.5 billion followers makes it one of the most followed sports in the world. Many followers of the sport have their favorite team, and they always try to predict the outcome of the match, considering some factors they know.

Various factors like a home ground advantage, experience of the players, performance at the specific avenue, performance in the past matches, the current form of the team and the players, and performance against a particular team decide the game’s result.

With some minimal imagination and minute calculations, we can’t predict the outcome successfully. But research has grown beyond our imagination. Many data science courses have been designed to predict the results based on previous data.

best Data Analytics courses in IndiaArtificial intelligence and the best data analytics courses with placement in India have become trendy and started presenting their significance in many sectors. Sports are also included in those sectors. NBA, Soccer, Baseball, and Cricket are such sports that use data analytics to make informed decisions.

Cricket is a game that generates enormous data because it is the game played by 106 member nations of the ICC, and many players are involved in it. This data is helpful for the teams to make the most out of the matches.

Selection of the players, order of batting, order of the bowling, field placements, and many more decisions taken by the experts or captains of the team depends on the analysis of the data generated. Followers may not know that there is an expert team of data analysts behind every successful match. The perfect combination to win a game is technology integrated with 100% effort of the players on the ground.

We need to remember an exciting line that ‘Data Never Lies’. We can definitely get some valuable inputs by analyzing the data. Data analysts consider many different stats to predict the fate of the tournament. This predictive analysis helps the team to strategize and plan the game accordingly. Sponsors too depend upon the data analysis. Search for how to become a data analyst now and build your career in the sports industry.

 

 

Here we are addressing some essentials of data analysis.

  • Captains can make crucial decisions with ease

Cricket is a dynamic sport, and many critical situations would arise during the game. A captain can then rely on data science to make a perfect decision in those moments. Data analytics can help the bowlers and batsmen increase their performance. Data science focuses on implementing machine learning and predictive modeling in the sport. These applications can turn losing matches into wins. We can analyze the performance of the batsmen and the effectiveness of the batsman against a bowler.

  • Improving the performance of the player

We can analyze the player performance using past data. We can see the number of dot balls, the number of yorkers bowled by a bowler, how effective they are against batsmen, etc. With regards to batsmen, we can watch previous deliveries and where he fails to connect. All these types of analysis can be helpful in building training modules for the players.

  • Keeping cricket fans engaged

We have to accept that without fans, no sport would survive. Spectators and fans keep the heat high with the data available with them. Fans get engaged with cricket because of the data analytics tools and knowledge. There are instances where final scores are predicted with the help of data analytics.

How to become a data analyst?

  • A bachelor’s degree in an area that emphasizes statistical and analytical skills, such as math or computer science, is an excellent place to start.
  • Learn how to solve problems by registering for data science courses or a data analytics course.
  • Consider certification.
  • Get your first work as a data analyst at an entry-level position.
  • A master’s degree in data analytics is a great way to advance your career.

Artificial Intelligence: Futuristic Career Options

Artificial Intelligence has been defined as the area of computer science that aims at creating intelligent machines that can think and behave like humans. In reality, AI software has widespread applications in today’s age of digital media. From chatbots, Voice-assistant software to self-driving cars, AI and Machine Learning (ML) has become the way to go.
A study by McKinsey in 2017 suggested that by 2030 one third of the total jobs would be related to AI. However, the pandemic situation has intensified this change as more and more companies have started to revamp their strategies to become more technology-centric in their approaches.

Artificial Intelligence, thus, can provide huge opportunities and has great scope for the future. Let us look at some of the jobs that Artificial Intelligence will create

  1. User Experience (UX): Products that incorporate AI at the core will be hard to use. It would be mostly because of the fact people are not very well accustomed to AI products. Thus, the need for a User Experience specialist will grow in the coming years. These professionals would mainly be responsible to understand how people are employing the various machines and equipment so that scientists can develop even more advanced software. Thus, a UX specialist would be required to understand the functionalities of an AI-tech that would help in filling up of more need gaps in the due course.
  2. Computer Science and Artificial Intelligence Research: Every technology needs to be upgraded to keep it relevant, in the due course. A Computer Science and AI researcher’s job would be just that. Based upon the area of their specialization, an AI researcher would be mostly responsible for upgrading AI-based data systems and unlock new potential in the existing avenues by curating AI software. There might also be a need for researchers to overlook the ethical aspects of adopting AI technologies in any industry. For instance, an ethical specialist handling the trolley problem relating to the self-driving car.
  3. Software Engineering: The traditional role of software engineers would remain highly relevant to AI-related fields. The software engineers would be responsible to design the technical functionalities of a product that would help in better utilization of machine learning schemas to perform diverse operations. Existing software engineers who want to leverage this trend change are looking for more Artificial Intelligence courses. It is predicted that the job role of a software engineer would grow 28 per cent faster than the average in the upcoming future owing to the growth of AI.
  4. Data Scientists: Data Scientists are responsible for the meaningful analysis of data. The Artificial Intelligence systems run on huge databases, from which important information needs to be extracted to support a business in its ordinary course. A data scientist would be expected to be adept in maths and statistics so that it can transform numeric information into simpler terms that would be helpful to make key inferences and decisions.
  5. Big Data Engineer: A Big Data engineer is entrusted with the task of building an entire ecosystem that would help the AI frameworks of different businesses to interact with each other. The job role of big data scientists would mostly revolve around designing, planning, and building up the big data environment. It is a highly challenging task and it is expected to mostly involve individuals with PhD in mathematics, statistics, or computer science.
  6. Natural Language Processing Experts: Most of the AI tools are used revolve around converting or rather translating virtual languages to natural language that are understandable by human beings. This has seen widespread applications in chatbots, virtual voice assistants, etc. The key responsibility of the individual experts in these fields would be to create systems through which computers can communicate with humans. Thus, these individuals must have good language and technology skills.

Also Read: 10 Interesting Facts About Artificial Intelligence

Stages Of Money Laundering And How To Combat It!

Money launderers’ methods are becoming more sophisticated every day, and financial transactions are becoming more complicated. In addition, the speed with which money and assets can be transformed and transferred has expanded rapidly due to the greater use of technical communications.

There is no one-size-fits-all approach to money laundering. Regardless of the methods used, the laundering process is divided into three stages, each of which may include launderers’ transactions that could alert a financial institution to criminal conduct.

Money Laundering Process

Anti-Money LaunderingMoney laundering is a word that refers to the practice of converting cash obtained through criminal activities into legitimate and clean funds. This article will look at three broad stages and measures to prevent money laundering.

Money laundering usually involves three stages, including-

Placement

When a person involved in criminal activity deposits monetary proceeds into the financial system, this is the first stage of money laundering. This is done to get rid of the money obtained through unlawful means. This stage corresponds to the criminal’s maximum level of vulnerability.

Layering

The money is then separated from its original, illicit source in the following stage of money laundering. This stage of the procedure is frequently tricky. Money can be altered such that audits do not notice it by moving it quickly and to other regions. Money may be transferred between different nations at this point.

Integration

The funds are integrated when they are placed and layered into the financial system. The criminal can then obtain funds from their initial illicit source in ways that don’t bring notice to the issue.

Ways To Combat Money Laundering:

Innovations In Technology

The technology used to detect money laundering-related suspicious activity is improving and becoming more accurate. AI and Big Data software enable these systems to become more precise with anti-money laundering.

Record Management And Software Filtering

Financial institutions and corporations also retain thorough records of transactions and employ software that might identify questionable conduct. For example, customer data can be categorized according to suspicion, and transactions can be rejected if particular criteria are met.

Holding Period

Many banks demand that deposits be kept in an account for a certain number of days (usually around five). This holding period reduces the possibility of money laundering when it is moved via banks.

Investment bankers and financial regulators are trained with anti-money laundering practices to look for laundering cases in their daily encounters. Violations of these laws will result in hefty fines and other consequences.

How To Become A Investment Banker?

Anyone with a thorough understanding of financial assets and investing has a chance to work as an Investment Banker. However, for those seeking entry-level careers in the field, the following courses are beneficial:

  • Com Hons.
  • BBA in Finance
  • MBA
  • CFA Program

A professional can enter the field and earn meaningful experience with a certification course in Investment Banking by Imarticus to advance in the industry.

In terms of depth, expertise, and relevance to the Investment banking sector, the CIBOP program by Imarticus is the answer to your query “how to become an investment banker?”

It stands out in the category of finance courses. It’s an excellent method to develop industry-relevant subject expertise and land a job at a top global bank.

Course Highlights:

Case Studies: Complex business scenarios and real-world application cases.

In-class simulations: Allow students to learn through the use of simulations that mimic real-world challenges.

Teach-backs and evaluations: Key concepts are internalized through assignments, assessments, and quizzes, while teach-back sessions confirm knowledge correctness.

Interactions between industries: Prepare presentations based on real-world events and understand how market dynamics affect financial markets.