August 20, 2021 - Finance, Tech & Analytics Career Resources

How Much Do Investment Bankers Earn in India?

Posted on August 20, 2021May 14, 2024 by Imarticus Learning

Do you know the average salary of an Investment Banker in India is from 12 lakhs to 13 lakhs, according to Glassdoor? The investment banking sector is growing at a 1.2% CAGR for 2018 to 2023. It is expected to reach a value of $78,008.7 million by 2023.

According to the Bureau of Labor Statistics, the demand for financial services sales reps is estimated to rise by 4% by 2029. This data is combined with attractive salary packages and a secure career. This positions investment banking as one of the most profitable and in-demand career choices.

In this article, we have revealed the salary of an Investment Banker in India. We have also covered the factors that influence it and the Investment banker’s salary in the US.

What does an investment banker do?

Investment bankers act as a bridge or intermediary between investors looking for investment opportunities and organisations looking for funding. The duties of investment bankers are divided into two categories: assessing a company’s financial situation and assisting it in meeting its financial goals. Investment bankers are responsible for analysing a company’s financial situation and capital requirements to offer a viable plan for meeting its financial goals.

Investment banker’s salary in India

The pay ranges from 3 lakhs to 1 crore depending on the skills, roles, designation, experience, job location, company, etc. But, the starting salary of an investment banker is better than many other professions, with initial pay of Rs.7-8 LPA. That’s why experienced investment bankers or Investment Banking Analysts can rise to higher positions fast. This is because their salaries rise quicker, and they earn higher paychecks.

Designation-wise salaries of an investment banker in India

Salary of an Investment Banking Analyst

This is the role assigned to people who’ve just graduated from business schools. Their tasks mainly include research and analysis of investment banking methods. A fresher with this designation would earn around Rs. 5 LPA on average. Also, an experienced candidate can earn Rs.6-7 lakhs.

Package of an Investment Banking Associate

This role is an upgrade from the role of a Banking Analyst. The duties involve the analysis of business strategies. They act as an intermediate between junior analysts and senior officials. The average salary for this role lies between Rs. 7 lakhs to Rs.10 lakhs.

Pay of a Business Analyst

This role is similar to the role of an Investment Banking Analyst. However, the difference here is that the focus shifts to business strategies such as profit optimisation and asset management. For this profile, a candidate would earn between Rs.6 lakhs and Rs.7 lakhs.

Remuneration of a Financial Manager

Being a high-profile role, financial managers mainly oversee a company’s financial health. They audit financial reports, analyse investment activities, and work out long-term financial goals for the company. Also, they use tools to analyse the data. A financial manager in India would earn around Rs. 10 lakhs on average.

Compensation of a Financial Director

The role of the Financial Director is a senior one, as they are leaders of senior executive teams. And their primary responsibility is to frame financial policies. They also make the proper process to meet a company’s business requirements. In addition, they oversee operational and strategic ongoing at the company. So, a Finance Director can have a starting salary of around Rs. 20 lakhs. With an experience of 4-5 years, one can earn anywhere between Rs.45 lakhs and Rs. 50lakhs.

Factors affecting Investment banker salary in India

In India, the average investment banker’s salary is significantly higher. But, to determine the exact pay, you must understand the factors that influence the salary of an investment banker.

The below-mentioned factors affect the salary of an investment banker.

Skills

An investment banker’s most essential skills are financial analysis and modelling expertise. Along with this, the knowledge of mergers and acquisitions plays a critical role too. The ability to work independently is also an essential skill to succeed in the investment banking field.

An understanding of deal structuring and closing principles is essential. Having excellent communication and networking abilities play a vital role. In addition, the ability to conduct research, be quantitative and analytical and explain market events.

Location

Few cities have a higher demand for investment bankers, causing average pay to vary significantly. But, depending on the cost of living, some cities pay comparatively less. Surprisingly, Mumbai (84% higher than average), Pune, and New Delhi pay 4% higher than average. So, these cities are the best locations to work as investment bankers. But, some places offer lower salaries to investment bankers, like Bangalore, Hyderabad, and Chennai.

Work Experience

More experience results in more gain in the field of investment banking. The average salary of one to four years of an experienced investment banker is Rs. 9 lakhs annually. However, bankers with five to nine years of experience earn around Rs. 20 lakh per annum. With an experience of around ten years, professionals can earn approximately Rs 30 lakh per year.

Companies

Some banks and companies are paymasters, while others pay less. So, investment bankers prefer firms such as Morgan Stanley and Goldman Sachs. Other liked banks are Barclays and J.P. Morgan. Investment bankers are generally paid well by most firms. However, you should not focus only on the package. The profile and work are deciding factors in rejecting or selecting a company.

Investment banker salary in the US

The United States pays well to investment bankers. It consistently ranks first in terms of compensation for its investment professionals. Furthermore, cities such as New York reward their professionals besides the salary. It offers valuable and lucrative benefits.

How to start your journey as an Investment Banker?

Before entering any sector, gathering knowledge about the industry, scope, career growth, and job opportunities are always good multitool. The second step is to equip yourself with the knowledge and skill set to become an investment banker. For this, you should get enroled in an institute and learn investment banking concepts.

An institute that offers excellent knowledge, expert faculty and an industry-oriented curriculum will be lucrative. But, if they provide career assistance and interview preparation, that will be the cherry on the cake So, try to find an institute that offers all these and then invest your money.

Apart from this, having a good network also plays a significant role in getting you to start your career as an Investment Banker. For that, you can do an internship with top companies and work hard. Moreover, during the internship, you can learn industry concepts and how to behave professionally.

Conclusion

In conclusion, careers in investment banking training usually offer good salaries. However, they are exclusively bagged by candidates with the best academic backgrounds.

Hence, candidates must work hard. They should try to graduate from a top educational institute. Also, they must know how to reap the benefits of their effort. And, plan a financial career properly to take up the role of an analyst.

Comparing Different Programming Languages For Machine Learning!

Posted on August 20, 2021March 22, 2024 by Imarticus Learning

Machine learning is a fascinating field. However, if you are just starting out in your machine learning career, then deciding where to begin is the toughest part. There are plenty of programming languages available that support machine learning. And each of these has its own uses and values.

In this article, we will dive deep into the different types of programming languages available along with their details to help you select the right one for you.

Let’s get started.

Python
Java
C++
MATLAB
R
Julia

Python

Python is one of the most famous programming languages and is used worldwide. It is used by over 8.2 million developers across the world. It has a vast library that is easy to access, handle, process, and transform data. Python offers better readability, more independence, and less complexity. Making it the No. 1 choice for machine learning engineers. However, the major shortcoming of Python is that it is relatively slower than C++ and its multithreading support is not good.

Java

Java is popular among those machine learning engineers who have a background in Java development. These engineers do not need to learn a completely new language for their machine learning implementation. Java offers easy dubbing, enhanced user-interaction, ease of use, and graphical representation. It also makes the scaling task easier for engineers. But Java is a slow and memory-consuming platform that requires significant memory space for running.

C++

C++ is a great programming language for building libraries. When it comes to game development, C++ is the most used language. Some C++ packages also support Tensorflow and Microsoft Cognitive Toolkit (CNTK) for deep learning. They come with OpenCV for computer vision. Shogun and MLPack are used for machine learning. DyNet, OpenNMS, and ANN support neural networks. However, C++ is mostly syntax-oriented, which is quite complex for beginners.

MATLAB

MATLAB – Matrix Laboratory is an innovative programming language. It is easy to use and understand language for machine learning aspirants. It supports GUI and is not constrained with complex syntax. It can easily perform code generation functions. It comes with predefined functions and helps optimize the coded models. Though MATLAB is a good language, it has its own shortcomings. MATLAB is a bit costly and is not easily available for free use. One can get a 30 days trial version with MATLAB, but for further use, it has to be bought.

R

R is a good alternative programming language for Python. With a userbase of over 2 million, R is used for various machine learning applications. It has significant benefits for statistical purposes. It is an open-source programming language with a good library. It supports matrix implementation, vectors, and other data structures. From data visualization to model evaluation, data sampling, data analysis, and more, R offers diverse packages. However, R lacks basic security and has lesser speed.

Julia

Julia is a dynamic programming language that can be used for a variety of general-purpose tasks. It works exceptionally well for computational and numerical analysis. It supports nearly all types of hardware and is used by major corporations like NASA, Apple, Oracle, etc. The codes of Julia are universally functional. They employ larger scalability. But it takes too much time to plot the data. Its packages are also not much mature.

Every programming language has its own pros and cons. Depending on your use, you should choose the one that best serves your purpose. A machine learning course can provide you with a deeper understanding of these languages along with their efficient use.

Why is Data Science a Good Career in 2021?

Posted on August 20, 2021March 26, 2024 by Imarticus Learning

Being a data scientist is only growing in demand over 2021 and is showing no signs of slowing down. It is estimated that around 11.5 million jobs in data science will be created by 2026 in the US. But, why is that the case? This article seeks to answer that very question.

Use in Companies

Due to the ever-growing base of Big Data, every company is looking to utilize all available information to have a massive competitive edge.

A data science career under a company is a frontier-field that finds new ways to better one’s products and services after utilizing past stores of information and/or case studies.

This work hence involves finding various avenues of data and finding new ways of processing and drawing conclusions from that data.

Use in Studies

Being a form of study that is still in its nascent stages, a data science career may not be motivated by finding profit for a certain industry but also increasing the ambit of human knowledge. One might also work on designing a data science course from others to learn from.

Proper Pathway

While being a data scientist requires a lot of work, the exact path to such a goal has been charted time and time again. There is a great degree of resources available now to become proficient in various aspects related to the data sciences. Other than doing a basic data science course, one may partake in learning various related fields like programming and big data processing from various online platforms (e.g. Imarticus learning).

Demand Doesn’t Slack

The demands for data sciences have also increased due to the new atmosphere generated by Covid-19 and the near-worldwide lockdown because of it.

It has been studied that 50% of the data science organization showed no slow-down and have seen growth. This requires one to find new ways to collect data, as well as use that data to aid in multiple projects. These may involve helping set up new modes of businesses, and helping older businesses change their plans to suit their new circumstances. Furthermore, it may aid in improving a range of services on a global level.

Diverse Skillsets

It is easy to switch into being a data scientist incorporating your present skillset. Whatever your present occupations and/or interests may be, it can lend an avenue to collecting data on that specific domain.

They can complement these skills with learning standard data sciences’ skills. Former data analysts may also expand on their present sphere of knowledge to become data scientists, with relative ease.

An Expanding Field

In 2021, a lot of past data science models are up to open-source scrutiny. Hence, even in this new field of human knowledge, one can have a sizable understanding of multiple avenues of collecting and processing data. Their entry into data sciences will work to expand on this field of knowledge.

In conclusion, one can see that it is indeed highly fruitful to be a data science in this present day and age. One can channel his/her present skillset into this occupation as well and aid a burgeoning field of human growth and knowledge.

Some Smart Money Management Tips To Tide Over The Covid-19 Crisis!

Posted on August 20, 2021March 21, 2024 by Imarticus Learning

Novel Coronavirus or COVID-19 is the pandemic spreading worldwide and leaving panic and uncertainty in its wake. The countermeasure to curb the spread of the virus (lockdowns and shutdowns) might have done more harm than good because the entire world is on the brink of a recession.

Many people have lost their jobs and means of earnings during this period. Many startups fizzled out of existence. COIVD-19 has been especially hard on the ones who were struggling financially.

We live in unprecedented times where money could be the only determining factor between life or death. It doesn’t take a Banking and Finance course after graduation or someone in a Finance career to figure out the importance of managing funds.

To help you on this front, we have listed some really excellent tips which should make your life a bit easier while battling a rampant pandemic.

Tips for money management:

Need to have a rainy-day fund:

Having a rainy-day fund is especially important in these times. Not only would it be able to help you in case something were to happen to your livelihood but it also would help you in case of any contraction of this virus in your family. Plus, for any medical emergency during this period, it would help to save up a little.

Ideally, you should have enough money to last you about six months or a year. You could choose savings funds, Fixed Deposit, or any other form of capital investment.

Having a stable life and health insurances:

In such times you should be prepared for the worst. Hence, you should not skimp on your life or health insurance because anything could happen. If you happen to have a term plan, make it a habit to pay all the premiums on a timely basis. Also, talk to your health insurance provider regarding the current health situations and how the insurance would work in this pandemic.

Your health insurance should come to your rescue in case you contract this virus. You would be able to save up on a good chunk of hospital expenses with the help of your health insurance.

Do not take blind loans:

You should be extremely careful with the money you borrow from others because anything can happen. We suggest that you should avoid any and every sort of loan. Only if it is absolutely crucial, then only take out a loan.

Try to be extremely careful with your expenses. If you absolutely need money, try using other funds (something that is non-essential) first before taking a drastic step of actually taking out a loan.

Conclusion:

We hope that we could provide you with some tips and tricks that should help you save money in such uncertain times. The best strategy in these times would be to remain calm and level-headed and maintain your composure. Proper money management is essential during this period.

Day: August 20, 2021