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Day: September 16, 2021

What are Corporate Finance Roles?

Posted on by Imarticus Learning

What are Corporate Finance Roles?

The banking and financial services industries are the two major pillars of the modern capitalist society that helps to propel the wheel of the economy smoothly. A job in the corporate banking or financial services segment is considered among the most prestigious and sought-after career choices.

This has naturally increased the competition for corporate finance job roles and obtaining a suitable role requires a comprehensive understanding of the corporate finance division. One of the best ways to find your dream corporate finance role is by opting for a corporate finance course.

Let’s delve deeper into some of the most prominent corporate financial roles and what they entail.

Chief Financial Officer (CFO)

The Chief Financial Officer heads the corporate finance division for most organizations and reports directly to the Chief Executive Officer of the company. A CFO is responsible for overseeing all the finance-related departments of an organization and is entrusted with finding new investment avenues for a business that will maximize returns and minimize losses.

A CFO is responsible for all the financial operations of a business. From budgeting to planning capital expenditure and fund sourcing for projects, a lot is riding on the shoulders of a CFO.

Financial Analyst

The financial planning and analysis segment of a corporate finance division has a broad range of responsibilities. The role of a financial analyst is one of the most reputed ones in the corporate finance division. Financial analysts play a key role in maintaining financial prudence for an organization.

The primary task of financial analysts in corporate finance roles is related to capital budgeting and entails estimation of revenue, budgeting, and monitoring any deviations from the set predictions.

Financial analysts are also responsible for evaluating capital proposals and investing in projects based on their future income and profitability. The financial analyst course helps businesses to find out exiting financial loopholes and the most profitable investment opportunities to maximize returns.

Credit Manager

Credit managers play a crucial role when it comes to reducing the probability of loss for businesses. Credit managers are primarily responsible for overseeing the credit decision making of the firm. They have to decide the credit rates for different parties and also have to establish the terms and conditions of the credit contracts.

Some of the common responsibilities of a credit manager include deciding how the amount of credit to be provided to suppliers, terms and conditions of the credit transactions, managing receivables collection, etc.

A credit manager should be well-versed with the intricacies of financial statements and should have a proper understanding of the customer profile. Opting for a corporate finance course by reputed institutions like Imarticus learning will help you a great deal with your job prospects.

Investor Relations Officer

A business cannot function in isolation, there are many important stakeholders of a business and investors top that list. Managing relationship with the investors plays a crucial role in the financial success of a business. The investor relations officer is responsible for maintaining a good relationship with a business’s investors including individual and institutional both.

The day to day for an investor relations officer involves communicating with the top-level executives, reverting to investor queries, forwarding important financial data about a company for the investing public.

Treasurer

The role of a Treasurer is indispensable for any organisation that is looking to optimise its finances. Treasure management involves a wide range of responsibilities as it provides a holistic view of the functioning and performance of all other departments.

A treasurer is responsible for supervising the treasury department which encompasses a wide range of activities like cash-flow management, risk management, financing, pension management, etc. The size of a treasury team might vary depending upon the nature and scale of operations of an organisation. A treasurer is generally the key contact person for investment banks and investors who are interested in a given business.

These were some of the most prominent corporate financial roles in the contemporary. One can opt for a corporate finance course by reputed institutions like Imarticus Learning to obtain a comprehensive understanding of this division and obtain relevant knowledge and skills to get their dream job.

Also Read: Importance & Scope of Corporate Finance

What is Further Future in Risk Management Course?

Posted on by Imarticus Learning

Risk management is one of the best practices to analyse threats in advance. In the field of finance, risk management means to analyse potential risks in advance. Banks analyse the credit score, credit history, etc. of the client before approving a loan to reduce the risk of non-payment.

You can find many certifications like PG/Pro-degree programs in finance & banking on Imarticus Learning to thoroughly understand the concepts of risk management. Risk management is expected to be used by a greater number of firms shortly. You can be industry-ready via a risk management course.

Let us see the further future of the certificate course in Banking and Finance.

Market Liquidity & Volatility

Market Liquidity will be unpredictable in the future. Market volatility can increase and any firm will require a good financial model to tackle the situations. The recent Covid-19 outbreak has caused many disruptions in the market and the future is still unpredictable. The demand for risk management professionals will increase further by the companies to analyse the vulnerabilities and prepare a good financial strategy. Risk management courses will be also in huge demand due to the increase in the importance of risk management discipline. Financial sustainability is a must for any business/firm.

Age of Digitisation

Many financial institutions have adopted digital risk management services. Many banks have their mobile applications and one can check their credit score on it. Fintech services are witnessing growth and they also need to manage risks. Professionals who can create more smart algorithms & automated processes for risk management will be in huge demand soon. Digitisation in risk management also helps firms in cost optimisation and they can save their human resource for other tasks.

New risk types are emerging nowadays form new business models, digitisation can help in analysing risks with better accuracy. New-age technologies like machine learning, data analysis, etc. are also being used by firms to analyse risks, create real-time risk management software, forecast with accuracy, etc. One can learn about the technologies used in risk management via a risk management course available on the internet.

Regulatory Changes

The regulations and norms set by the regulatory authorities change from time to time. Finance institutions involve regulations in their strategy and follow it strictly to become a trusted brand. The financial models created should be reviewed according to the regulations so that they can fit in the market. This may not be seen as a challenge in current times but soon regulatory challenges will be faced by risk management professionals. One can learn how to make regulatory reviewed models in risk management via a risk management course.

Resources on Stake

A lot of stakeholders, investors, etc. agree that a lot of value is already at stake in the market. To increase the ROI (Return on Investment) on the invested value, risk management is very necessary. The risk management industry is expected to grow as firms will require professionals who could make their investment successful by choosing sustainable ventures.

Risk analysis & management helps in finding out the good investment opportunities which carry the least risks. Digital solutions to risk management are more accurate and can provide you with good ROI even in a shorter time. Risk management professionals will be demand for making better business strategies.

Conclusion

The risk management industry is expected to be integrated with corporate culture fully in the coming years. New-age technologies are also increasing the depth of risk analysis & are automating risk management processes. One can learn about concepts of risk management via online courses and can be a part of the risk management industry. Grab your online course via Imarticus now!

What is a Credit Analyst Salary?

Posted on by Imarticus Learning

A credit analyst is a person who is responsible for analyzing the creditworthiness of a customer. Credit analysts assist in assessing the loan applicant’s ability to repay the loan and then recommend the application for acceptance or rejection. Credit analysts work in investment banks, credit card companies, commercial banks, investment companies, and credit rating agencies. Many other companies hire credit analysts for their credit departments. The credit analysts’ salaries are very lucrative making this job among the top professions to opt for people with an interest or background in commerce.

Before discussing the salary aspects of this role, let us first understand the job responsibilities, qualifications, skills, and career pathways and scope of a credit analyst in detail.

Job Responsibilities of Credit Analyst
A credit analyst performs a variety of roles. They collect financial information about loan applicants which includes their earnings, savings, purchase history, spending patterns, etc. Then they review this information and decide whether to approve the loan of the person or not. A Credit analyst also reviews problem accounts. For instance, an analyst in a credit card issuing bank review the defaulted payments history of clients to reduce the credit line or close the credit card altogether. A credit analyst can also recommend credit line extensions to clients with strong payment history.

Qualifications Requirements for Credit Analyst
To become a credit analyst one needs to have a degree in finance, accounting, or a related field. A credit analyst course can also help candidates looking for jobs in this field. The applicants for these jobs should have a decent knowledge of statistics, basic accounting and finance, calculus, ratio analysis, industry assessment, economics, and financial statement analysis. These subjects are necessary for working in risk assessment. Many companies and banks also provide candidates with on the job training to help them polish their skills.

Skills for Credit Analyst
Apart from qualifications, some other important skills for a credit analyst are:

  •  Communication skills
  • Quantitative analysisDiligence
  • Multitasking and prioritization
  • Industry knowledge
  • Financial software experience
  • Accounting
  • Problem-solving aptitude
  • Documentation
  • Attention to details

Career Pathways and Scope of Credit Analyst
Credit Analyst is an enjoyable career for those who love working with numbers. Their day to day job activities involve reviewing various numerical figures. They have an indoor office job with employment in major banks, credit unions, government agencies, and investment management groups, etc. With a degree in Finance or Accounting, one can apply for a job as a junior credit analyst in a financial institution. To further upgrade the career, one needs to have a good working experience and an additional credit analyst course or a degree to get a promotion or a good hike in the salary. The major pathways for credit analyst job roles are senior credit analyst, banking credit analyst, credit manager, etc.

The average salary of a credit analyst in India is around INR 5,92,605. However, the actual salaries vary from company to company and position to position. With experience, the salary figure rises to 1 million and above for professionals. Additional skills like loan underwriting, risk management/control, financial analysis, etc.help get an above-average pay.

A credit analyst is a responsible job that needs complete awareness and attention towards the work. A credit analyst is in charge of deciding whether a person or organization is eligible for a loan or not and if yes, then at what interest rate. Various factors need to be kept in mind while reviewing the applicants as your decision can change their future for better or worse.

How Much Does A Financial Analyst Make?

Posted on by Imarticus Learning

The job of a financial analyst is one of the most sought-after jobs in the field of financial services. The crux of the job as a financial analyst is to study data, find out the various opportunities and analyse the outcomes of the various decisions taken and investments recommended and made.

The job of a financial analyst has both a senior as well as a junior position to offer in any firm. The position of a financial analyst opens doors to various other career opportunities. The field of financial analysis is highly competitive and aspirants may find it harder to fit into the field.

Taking up a financial analyst course online would make the nitty-gritty of the position a lot clearer to aspirants white also equipping them with the necessary tools required to succeed in the field. Thus taking a financial analyst course is considered beneficial and is highly advised.

Let us dive in-depth into what a financial analyst is, what they are required to do and about financial analyst salary.

What Exactly is a Financial Analyst?

A financial analyst is responsible for analysing and looking into financial data thus using the findings to aid organisations to improve their business choices and decisions. Many a time, the analysis done by a person in this position is done to aid better investment decisions for the company.

Thus an analyst must research the economic conditions while also looking into the fundamentals of the organisation in order to make predictions. These predictions would be concerning various aspects of business and various industries. Based on this a course of action is also suggested.

Being aware of the various novel developments in their respective field while also coming up with financial models to foretell the future economic environment for a wide range of variables is the key part of this job.

What Does It Take To Be a Financial Analyst?

Even while being a high paying career as well as a career that gives way to a large number of opportunities, compared to other jobs with similar benefits, the pressure of having rigid and defined qualifications is much lesser. The specifications wholly depend on your specific employer and duties.

To qualify as a financial analyst, possessing a bachelor’s degree, ideally majoring in economics, finances and statistics, is crucial. Other majors that are also looked at are math, engineering and in some places even a major in biology, that is, if aspirants are interested in pursuing a career in analysis in those specific fields. As mentioned earlier, this field is highly competitive and undergraduate degrees don’t stand out very much, thus making it very difficult to be considered for the position with anything lesser than a bachelor’s degree.

Larger investment banks prefer employing people from elite institutions, thus paying their first-years with a very high financial analyst salary.

How Much Do Financial Analysts Make?

The yearly financial analyst salary for someone only starting out can come close to or go up a little more than a whopping 48,500 dollars.

The biggest reason for the popularity of this position is the average financial analyst salary. People in this field are paid very well and for good reason. Owing to the competitive nature of the field, employees need to work very hard. The job entails attending a large number of meetings and a lot of travelling.

Sometimes employees may need to stay for additional working hours. The job requires employees to remain up to date with novel changes in the economic climate while also thinking of ways to keep the organisation at the top of the financial race.

Also Read: What is Financial Analyst Course

Venture Capital Careers: The Complete Guide!

Posted on by Imarticus Learning

Understanding Venture Capital

If you are somehow connected to finance or entrepreneurship, in general, you must have come across this buzz word called “Venture Capital”. Venture Capital is a method of financing start-up companies that demonstrates high growth potential and that might be a profitable investment for people that might have an interest in the operations of the business.

People are often confused between venture capital and private equity, so let’s clear the air here. Venture capital is in a way similar to private equity as both are considered as a type of funding option for businesses that are comparatively new in the market. Venture Capital is strictly focused on providing funding to businesses at an early stage. Private equity investments are generally done for companies that are established for a comparatively longer time period.

The contemporary world is witnessing more number of people starting their own businesses than ever, this naturally has led to a lot of competition among the start-ups for funding, given the paucity of funds available in the market. Survival of the fittest is going to be the norm. This is where the Venture capital firms come into play, assessing and choosing the best business to fund and help them sustain the competition with their expertise in the domain.

Venture capital firms raise capital from Limited Partners, such as pension funds, endowments, and family offices, and then invest mostly in early-stage companies with high-growth potential, for a fair stake in the business through equity. The main objective is to grow these companies and later on exit through acquisitions or initial public offerings (IPOs).

The investments are highly risky in nature and only a few percentages of the total investments in multiple companies are expected to generate the required returns, the successful ventures more than makes up for the loss incurred in unprofitable investments.

Getting into Venture Capital

While thinking about the venture capital industry, people not yet familiar with the industry dynamics generally have a perception that the finance and MBA background is a must-have. Having done your internships with Venture Capital firms certainly gives you an edge in the interviews. Your educational and professional qualifications in the financial domain is certainly an added advantage but it’s not a necessary condition for entering the Venture capital industry.

There are various capital market courses that specifically focus on a financial niche and gives you an in-depth understanding of the focused domain. People from various industries join the Venture capital industry as they bring dynamic insights from a variety of industries which makes their analysis a lot easier when it comes to funding business in a specific segment. The variety in the area of expertise adds a lot of weight when it comes to assessing businesses from different industries.

It’s paramount to understand that getting into venture capital is not a good idea for everyone with a relevant degree.

For working as a VC the most important and unsaid criteria are having a lot of experience, the experience here is not denoted by your age but by the exposure you’ve got while getting your education or through your previous jobs and internship and through the professional networks that you made while building your career. Since it takes a holistic approach for a given industry it’s important to have an area of expertise so that you can add value while associating with a particular company in your given domain.

People who have previously founded and successfully ran a start-up have an added advantage when it comes to backing the job in interviews for Venture Capital firms. The entrepreneurship experience is counted as a bonus as the funding emphasis is on nascent start-ups who are yet to grow. Having demonstrated the ability to run and grow a start-up speaks volumes when you are about to start your venture capital career.

10 Essential Leadership Qualities For The Age Of Artificial Intelligence

Posted on by Imarticus Learning

Artificial intelligence (AI) is slowly being a revolution that can completely change the workforce. At the same time, it is still not able to replace human intelligence and reliability.

This is the main reason why leadership qualities are highly significant under the circumstances.
When AI is starting to show its power, it takes a highly capable leader to show the team that there is still a lot the humans can do.

In order to show them the same, a ladder needs to have certain attributes at this age of AI. These are qualities that are not taught during an Artificial intelligence course but are the ones that you need to develop yourself.
The essential leadership qualities

  1. Agility: In this fast world, a leader needs to have a quicker mind and make strategies on the go. This is one area where there are no compromises. If you have to survive in this era you have to be an agile leader.
  2. Adaptability: Sharpen adaptability skills because the requirements and circumstances could change anytime, A leader must be willing to make changes swiftly but effectively to adapt to the situations. Better the adaptability, finer would be the outcome.
  3. Accountability: Be accountable for all or any actions and decisions made as a team. Since leading from the front requires trust, this attribute helps develop confidence within the team. So be accountable and transparent.
  4. Commitment: Artificial intelligence may be able to show the way but the decision-making power is still with the humans- leaders. A leader must be committed to the decisions made and for any changes thereafter.
  5. Better communication: A leader needs better communications skills, period. Developing this attribute is more important than enrolling in any Artificial intelligence course. Look for courses that help develop this personal quality.
  6. High work ethics: Learn to value others in the team and give as much importance to every part of the work system. One who can inspire others and aspire to be a better person is better valued by the companies.
  7. Foresight: AI may be able to foresee future possible changes but it is the leader who needs to have the foresight to see and decide for the possible changes that could be down the lane. It also calls for some amount of creativity to use such changes for the betterment of the company.
  8. Flexibility with demands: When Artificial intelligence is predicting changes even a small change of course can have major impacts. A true leader must be flexible with such changes according to the demands. A leader must be able to alter his or her working style to suit the new scenario and should also be able to make it productive.
  9. Be able to influence: The flexibility in work and coming up as the winner at the end of such a trial should be enough to influence others to follow. This is one leadership quality that is highly dependent on the other attributes. One must be reliable, adaptable, and trustworthy enough to influence others. When you influence others to be positive, you are giving more value to yourself and to the company.
  10. Stay Humane: AI might be taking over too much of human efforts but the one thing that it cannot take away is the humane nature. A ladder who stays humane under all circumstances is sure to be born as a commander. This is another attribute that no Artificial intelligence course could teach you. You stay grounded even when you are flying high; it’ll make you the person that defines leadership qualities in this very age of robotics and manmade intelligence.

Also Read: 10 Interesting Facts About Artificial Intelligence

Don’t Miss These Comprehensive Questions To Ace Data Science Interview!

Posted on by Imarticus Learning

109 common data science interview questions to remember

 Data science interviews are often considered to be difficult and it might be difficult for you to anticipate what questions you will be asked. The interviewer can ask technical questions or throw you off guard with questions you hadn’t prepared for.

To pursue a full-fledged Data Science Career, it is important for you to be up to date on an array of questions that might be asked during the interview, ranging from programming skills to statistical knowledge, or even field expertise and plain communication skills.

Here is a segmentation of the various categories along with the list down of the possible questions you can expect in each category as an interviewee during a data science interview.

Statistics

As an interviewee, it is essential for you to be prepared on statistical questions since statistics is considered to be the backbone of data science.

  • What are the various sampling methods that you know of?
  • Explain the importance of the Central Limit Theorem.
  • Explain the term linear regression.
  • How is the term P-value different from R-Squared value?
  • What are the various assumptions you need to come up with for linear regression?
  • Define the term- statistical interaction.
  • Explain the Binomial Probability Formula.
  • If you were to work on a non-Gaussian distribution, what is the dataset you would use?
  • How does selection bias work?

Programming

Interviewers may ask completely general questions on programming to test your overall skills or may try and test your knowledge on big data, SQL, Python or R. Listed are a couple of questions that may turn out to be relevant for you to crack that interview like a pro.

  • List the pros and cons of working with statistical software.
  • How do you create an original algorithm?
  • If you were to contribute to an open-source project, how would you do it?
  • Name your favorite programming languages and explain why do you feel comfortable working in them.
  • What is the process of cleaning a dataset?
  • What is the method you would take for sorting a large list of numbers?
  • How does MapReduce work?
  • What is Hadoop Framework?
  • If you are given a big dataset, explain how would you deal with missing values, outliners and transformations.
  • List the various data types in Python.
  • How would you use a file to store R objects?
  • If you were to conduct an analysis, would you use Hadoop or R, and why?
  • Explain the process using R to splitting a continuous variable into various groups in R.
  • What is the function of a UNION?
  • Explain the most important difference between SQL, SQL Server, and MSQL?
  • If you are programming in SQL, how would you use the group functions?

Modeling

While a Data Science Course will teach you the basics of modeling, at an interview you may be asked technical questions like building a model, your experiences, success stories and more.

  • What is a 5-dimensional data representation?
  • Describe the various techniques of data visualization.
  • Have you designed a model on your own? If yes, explain how.
  • What is a logic regression model?
  • What is the process of validating a model?
  • Explain the difference between root cause analysis and hash table collisions.
  • What is the importance of model accuracy and model performance while working on a machine learning model.
  • Define the term- exact test.
  • What would you rather have; more false negatives than false positives and vice versa?
  • Would you prefer to invest more time in designing a 100% accurate model, or design a 90% accurate model in less time?
  • Under what circumstances would a liner model fail?
  • What is a decision tree and why is it important?

Problem Solving

Most interviewers will try and test your problem-solving ability during a data science interview. You may be asked trick questions or be subjected to topics that evoke your critical thinking abilities.

Listed are some questions that will help you prepare for an upcoming interview.

  • How would you expedite the delivery of a hundred thousand emails? How would you track the response for the same?
  • How would you detect plagiarism issues?
  • If you had to identify spam social media accounts, how would you do so?
  • Can you control responses, positive or negative to a social media review?
  • Explain how would you perform the function of clustering and what are the challenges you might face while doing so.
  • What is the method to achieve cleaner databases and analyze data better?