Do financial analysts use Python? In what ways?

Finance professionals have long relied on the trawling through spreadsheets which makes their exercise an extremely arduous task. However, over the years they have had access to VBA( Visual Basic Applications) in Excel to customize functionality and automate worksheets.
Google sheets have also proved to be a great contender for managing data on spreadsheets with Google Apps Script being a great addition to the option available. However, the Python programming language is now gaining a lot of popularity in the field with several financial giants like Citigroup offering Python certification and coding classes for their trainee financial analysts, traders and banking professionals.
Python has become one of the most popular programming languages in financial organizations owing to its simplicity, robust modeling capabilities and research ability for analysts, traders and researches. Python has inbuilt applications for every aspect in finance ranging from risk management to cryptocurrencies. A great addition to the financial toolbox of finance professionals, Python certification can be gained by professionals who have enrolled in a Financial Analyst course to enhance their skills and expertise at work.
Financial Analyst course
What makes Python such a great technology especially for finance professionals?
Several traits of Python make is a great choice for financial professionals. Although, here is a list of the most important ones:

  1. Simple and flexible

Easy to write and implement, it is a perfect choice for handling financial services applications that are complex. The syntax is simple and enhances the speed of helping organizations to build software to integrate with their products. It also reduces the rate of errors when developing products in the finance sector that fall under high regulations.

  1. Develops Minimal Viable Product (MVP) faster

The financial services sector needs to be agile and responsive to its customers. Using Python in combination with frameworks like Django, developers can get hold of MVP of products and services to create flawless products

  1. Bridges the gap between data science and economics

Python simplifies calculations for a finance professional with its simplicity and practicality in creating formulas and algorithms to integrate the work of economists in the Python platform.

  1. Source of libraries and tools

Python lets developers build tools from at any stage saving a lot of time and money. Python libraries help in integration of products giving organizations a competitive advantage.
How do finance companies and analysts use Python?
It is already known that Python comes in handy for finance professionals in a broad range of applications. The most popular use of language is as follows:

  1. Banking software

Venmo, Stripe, Zopa, etc are some great banking platforms that finance organizations and banks have built for payment solutions and online banking services with Python. The simplicity and flexibility of Python help banks to develop software for ATM machines to enhance payment processes.

  1. Analytics tools

Python is a great tool for processing and analyzing large sets of data. Libraries such as Pandas help to simplify the data visualization process and carry sophisticated calculations to reveal a deep picture. Scikit or PyBrain are other libraries that have powerful machine learning algorithms to help in predictive analytics for financial analysts.

  1. Cryptocurrency

Businesses that sell cryptocurrency need a tool to conduct a market analysis to predict trends and patterns. Python has a data science ecosystem called Anaconda that helps developers to carry out cryptocurrency pricing and analyze the trends. Most web applications that deal with cryptocurrency use Python to build their products.

  1. Trading

Stock markets create large amounts of data that requires analysis again to get generate reports on the economic scenario. Developers use Python to create solutions that nail down the best strategies to offer the best solutions to trade.
Python is a clear programming language with a simple syntax and a good ecosystem that helps the development process of any financial activity. So those with a Financial Analyst Certification could benefit from the knowledge of Python as they will be able to integrate their knowledge to develop and work on Python-based tools in their job.

Also Read: Does Financial Analyst Need SQL

Does Financial Analyst need SQL?

Does the Financial Analyst need SQL?

SQL, which stands for a structured query language, is the way most data analysts define, manipulate and control large amounts of data. It allows the questions in our minds to be translated into queries that elicit quick and concise responses from the data. 

It is no secret that data has become a prerequisite for analysis, as the digitized world has enabled our every movement to be translated into data points captured by various technologies. The unstoppable and ever-growing expansion of the data universe, coupled with an increasing appreciation of the capabilities of sophisticated data analysis, has made the data analyst the magician of our time. A good data analyst, or a good data-analysis solution, is one that bridges the gap between data and the way the human mind works.

Though sceptics claim SQL has nothing to do with finance, the technological world is fast evolving and inter-departmental boundaries are fast disappearing. Most teams are now cross-functional, and the emphasis for operational efficiency is on being Agile and applying Scrum principles. Even data has moved to cloud storage. That’s obviously why financial analysts need knowledge in Python and SQL.

It is no secret that data has become a prerequisite for analysis, as the digitized world has enabled our every movement to be translated into data points captured by various technologies. The unstoppable and ever-growing expansion of the data universe, coupled with an increasing appreciation of the capabilities of sophisticated data analysis, has made data analysts the magician of our time. A good data analyst, or a good data-analysis solution, bridges the gap between data and the way the human mind works.

SQL and Finance:

Data and financial records form the very backbone of all financial analysis. SQL is a great programming language for financial applications. Couple that with cloud storage, cross-functional teams, and the never-ending need for differentiating and cutting-edge live databases and it is easy to infer that at least the fundamental techniques of SQL are of paramount importance to the newbie financial analyst. Most people shy away from SQL which appears to be hard to learn and full of math.

However, SQL is the easiest way to store, move data locations, analyze your data across various internal and external sources, retrieve data at will, make data analytics-based decisions, add the script to edited data, and find a particular date’s stock prices and endlessly explore databases. Especially in financial analysis, there is no replacement of data to justify or argue a decision! SQL is truly awesome with queries, not so great at organizing data, has an awe-inspiring backend, works with very few filters, and is declarative.

Python and Finance:

Having stressed the need for SQL, add the most happening financial language of Python to the list of requirements for financial analysts. Python tools take care of math and programming difficulties.

Here are some reasons to adapt to Python:

  • Financial modelling tools like VBA Macros and Excel are for beginners. Python can do all this and more with minimum code and not being limited to on-screen data interpolation
  • Testing strategies and trades are possible with simple Python code and algorithms in comparison to the C-based coding for financial algorithms
  • Data Analysis is simplified by importing queries in SQL and producing a more complex inferential analysis
  • Its libraries are vast and open source

If you have to learn a few programming languages, then do so at the very beginning of your career to ensure a happier more successful tomorrow. The older generation finds adapting to SQL, Python, etc. hard and you will have an unbeatable edge. Do give programming languages like the evolving Lisp, Haskell, and R a fair chance too. You never know what software your future companies depend on or adapt to. In parting, assimilation of skills is the first hard step in your successful career.

There are many skills both technical and non-transferable that contribute to making a successful financial analyst immaterial of which area you work in. Doing the financial analyst course at the renowned Imarticus Learning Academy will ensure you get a coveted financial analyst certification while the course comprehensively provides you with the easiest skill-enhancing route.

Also Read: – Do Financial Analysts Use Python 

How Do You Perform A Financial Analysis

What Are The Benefits Of Being A Financial Analyst?

Which course is better SAP FISCO or financial analysis?

Both SAP  FICO and a Financial Analyst course have their own unique applications – both require an individual to be an expert in the domain, and both can land very lucrative jobs. SAP FICO is a little more technical and to become a financial analyst one requires to be continuously updated in skills. One must take a lot of care and should consider all options before deciding for a course.
Let us look in detail.
SAP FICO – FI (financial accounting) and CO (controlling) is a module that is used for reporting both internally and externally. Its main purpose is to record all financial transactions that are posted by an entity and maintain and produce accurate financial statements at the end of the trade period.
SAP is made up of sub-modules which are often used – accounts receivables, payables, asset accounting, general ledger accounting, and bank accounting. These sub-modules are interlinked, and they integrate in real time. A trial balance will always be balanced as all the submodules are connected and thus they can be extracted at any time.
Financial Analyst course
Integration between SAP FI modules:
General ledger accounting – A set of all general ledger accounts in SAP that is used by a company or a group of companies is referred to as a chart of accounts, and these are used for the final preparation of the financial statements. Most transactions are reconciled with the general ledgers in real time as most transactions are recorded in submodules. Transactions done in direct general ledger accounting includes journal vouchers. These are posted to correct or adjust transactions.
Accounts receivables – it is a submodule that records all transactions with customers and manages their accounts. Separate customer accounts are maintained, and once transactions reflect in customer accounts, reconciliation accounts in the general ledger are updated in real-time figures. These transactions include invoice posting, down payments, invoice payment and executing customer reports.
Accounts payables – is a sub-module that records all vendor transactions and manages vendor accounts. Separate accounts are maintained for all vendors, and when transactions reflect in customer accounts, reconciliation accounts in the general ledger are updated with real-time figures. Transactions include invoice and credit memo posting, down payments and invoice payments, automatic payment program and executing vendor reports.
Asset accounting – it manages all transactions that are related to assets, for an entity. Once transactions are posted in asset accounts, reconciliation accounts are updated in real time. Transactions in asset accounting include asset acquisition and retirement, asset sale and transfer, asset revaluation and asset depreciation.
Bank accounting – it records all transactions with the banks. It is done to collect all transactions recorded by the bank on their statements and comparing them to transactions in the system.
Since all the SAP FI sub-modules are consolidated and transactions are updated in real time, accurate financial statements can be extracted at any time from the system.
To become a financial analyst you acquire a financial analyst certification one has to leverage accounting and compliance backgrounds and has to explore financial data, predict results and drive policy improvements. The position of a financial is accountable for reviewing investment proposals, investigating internal financial and operational issues, staying ahead on the conditions of the industry conditions and activities of different competitors.
Principal Accountabilities covered in a Financial Analyst Test

  • To investigate operational and financial results and make suggestions for improvements
  • Conduct and discuss cost-benefit analyses
  • Reviewing capital budgeting proposals and recommend to management
  • Create and forecast future business conditions in multiple scenarios
  • Review and suggest different investments that are based on risk and return analysis
  • Stay ahead of industry developments
  • Create financial models with electronic spreadsheets
  • Make powerpoint presentations for senior management with summaries of the results of analyses
  • Analyze past and current financial data and performance and preparing reports based on that
  • Evaluate current capital expenditures as well as depreciation and exploring investment opportunities
  • Evaluating profits plans and providing with financial models and forecasting
  • Recognizing trends in financial performance and offering suggestions for improvement

What is a good Excel book for corporate financial analysis (controller, financial planning & analysis)?

Financial modeling can be best learned through practice.  If you are just starting to learn financial modeling, reading up on the different financial models will help you clear the fundamentals. Microsoft Excel is one of the most-used programs which are used for financial modeling.

The following books are helpful to clear the basics of financial modeling and planning, and also discusses how to analyze data sets. They also show how Excel can be used for the same models.

Mastering Financial Modelling in Microsoft Excel: This book by Alastair Day will help you master the concept of financial modeling and how they can be generated through Excel. Complex issues are discussed with ease, with solutions to practical problems. Some of the major topics covered by the book are spreadsheet designs, processes, and methodologies.

Various techniques which can be used to check and improve existing models are also given in the book. Tests for every scenario are also given along with different Excel formulas and functions.

Financial Modeling in Practice: A Concise Guide for Intermediate and Advanced Levels: It is an engaging, easily readable book authored by Michael Rees. This is a great book for students as different Excel functions and tools for financial modeling are easily explained with scenarios, explanations, and illustrations.

It also teaches the basics of how to design a model, detail out its structure, and make them accurate, relevant and easily understandable. The book also explores different add-ins such as @RISK and Precision Tree, which are very useful for risk assessment. Different examples of how these models have been used in practical solutions are explained in great detail in the book.

Best Practices for Equity Research Analysis: The book by James Valentine is aimed at equity research, and is useful for anyone who wants a career in this field. The book explains concepts from the business’ point of view. The book explains ideas on valuation, behavioral finance, and due diligence.

The author’s own experiences are clearly stated in the book as well. It focuses on the importance of clear communication through the different models which are generated. Tips and tricks which can be used in Excel are explained in detail in the book.

Financial Analysis and Modeling using Excel and VBA: The book discusses the world of Visual Basic for Applications (VBA), as used in different Excel models. It is written by Chandan Sengupta and is relevant for both students and financial modelers who want to include VBA in their analysis.

It goes into the detailed features in Excel which are necessary for financial analysis course and modeling. Examples of these models are statistical analysis, Ribbon, data analysis, and PivotTables. This book also teaches financial analysis and modeling through different features of VBA and Excel.

You can learn by the different examples that are given as assignments in the book. Iterative solutions to different problem scenarios are also explained in great detail in the book.

How The Rupee Became The Best Performing Currency in Asia?

The Rupee was declared the best performing currency in Asia in March 2019! Financial trends and analytics are at the core of predicting the value of the currency in the international stock markets. So, when the findings revealed that the rupee had suddenly in little over a month everyone was curious as to the factors that led up to this change in fortunes.
Factors fuelling the recovery:
The 2019 midterm polls: The very announcement of the polling schedule impacted the rupee positively. It is normal that new brooms bring in new changes. And the stocks responded positively to this factor by seeing a sudden pick up in values against the Euros, Yen, and US dollar as comparative currencies.
The present PM could win the next term: If you believe the trends reported by analytics of data on the pre-poll sentiments the present PM has a very good chance at repeating his last performance and becoming a second-term PM. He does have to his credit the much-debated demonetization and flushing off illegitimate funds from the system to account for. Besides, the thrust area of turning India into a digital economy saw the great implementation of such practices which have been generally speaking quite successful. A second term will push the rupee values up further according to some experts in poll-analytics.
Escalated Indo-Pak tensions: India sent out a firm message after tensions sprung up post the Pulwama attacks and India’s retaliatory measures at ending terrorism in J and K. The world finally recognized the dangers breeding there and this caused a spurt in values for the Indian rupee. This also contributed hugely to an improvement in the PM’s ratings as a potential second-term candidate.
Huge positive sentiments in buying of shares: This type of investment by foreign stakeholders went ballistic in mid-March and raised bond values to a high within a short period of one month.
Borrowings in US dollars: This factor aided by buying of assets strengthened the rupee values further and helped arrest the downslide against the US dollar.
US and Europe positive sentiments: Though the US has been speaking tough, there has been perceptible bettering of relations with both big players and their stock markets and financial institutions in the global economy, and this in conjunction with other factors caused the rise in values according to a segment of Bloomberg experts.
The robust recovery in cash-flows to portfolio management: This came about with the bettering of the BJP a political party that appears to be set to win the on-going seven-phased polls.
Anticipated volatility fell: A decrease in the 3-month period of the anticipated figures for price-volatility and movement of monies fell to reasonable limits recently which spurred the recovery and price-improvements seen by the Indian rupee versus the US dollar.
What does this mean?
The results of the polls which is due to complete in mid-May could be the crucial factor for the resilience in the rupee values. Should BJP manage a clear win the prices will stabilize as versus the dollar and this augurs well for the Indian economy. Going from the worst performing to the best in its class is an unexplained trend at the moment mainly due to the ambiguity of the poll results being an important factor. However, other indices and factors like good money-flows, carrying-over of trade prices of the rupee, increased chances for the PM and BJP to win the polls and stabilization of conflicts along with better relationships globally have also contributed to this success story.
How you can get a better understanding:
In parting, financial degrees do not teach you the best technological tools to understand trends, forecasts, and predictions. All is not lost! Do a financial degree course with Imarticus Learning to inculcate the best-practices and tools for efficiency in using analytics.
On a concluding note, it is interesting to study the various factors that contributed to the rupee emerging as Asia’s best currency. To make a financial career and qualify for certification you need a reputed institute like Imarticus who have wide acceptance across all verticals. The Financial Analyst certification adds value to your resume, is almost a mandatory requirement and opens the doorways to a satisfying career with extremely handsome salaries. Why tarry? Enroll and reap the benefits of Imarticus courses today.

The difference between Financial Analysis and Economic Analysis

The difference between financial analysis and economic analysis

Financial and economic analysis have similar features. Both estimate the net benefits of a project investment based on the difference between the with-project and the without-project situations. The basic difference between them is that the financial analysis compares benefits and costs to the enterprise, while the economic analysis compares the benefits and costs to the whole economy.

Financial and Economic analyses are essentially used to determine the costs incurred and the resulting benefits from investing in a project. They both involve ascertaining the NPV or the net present value of a project based on its estimated present and future cash flows, appropriately discounted. Both techniques, however, differ in their implications and hence also in what is defined as a cost and a benefit.

Financial Analysis is largely confined to individual organizations or their units. It involves a fairly quantitative, fund-based approach that directly compares the expenses and revenues from a venture to determine profitability and hence sustainability. Such evaluation may often employ the financial statement of an enterprise – the balance sheet, the income statement, and the cash flow statement.

For instance, consider an oil drilling company evaluating an independent project – the setting up of a new well. If the present value of the annual cash flows were to exceed the initial investment and other costs such as taxes, possible interest payments, and operational expenses, the project would be looked upon favourably. Additionally, the firm might also look at the project’s effect on its financial ratios to be certain about feasibility.

Economic Analysis, on the other hand, takes a much wider view and entails the impact of a project on society as a whole. It considers the viewpoints of all stakeholders and how the results of a project aligned with the broader economic and social policies as well as the international scenario. The costs in economic analysis are a measure of the resources that society collectively invests for the fulfilment of the project. The benefits, however, need not be just monetary and often include intangible benefits.

 

Economic analysis is very important as it allows organizations and their donors to compare the impact of social intervention to the cost of implementing it. These comparisons aid in determining the most effective resource allocation. 

 Economic analysis is a type of assessment that helps answer the question “is it worth it?” in addition to the question “does it work?” that other impact evaluations address. Economic analysis has been more prominent in the impact measurement practices of charities and donors in recent years, as the sector has been under increasing pressure to give estimates of what value is created for every pound invested.

In the above oil well case, for instance, the economic analysis deals with not just the profits from an industry perspective.  Instead, negative externalities such as pollution, displacement, and deforestation are treated as costs while positive externalities such as employment generation which is considered benefits. Determining a quantitative measure of such factors remains a challenge.

Treatment of Taxes and Subsidies

Financial analysis tends to rely on exact market prices for calculating costs. Taxes are treated as costs and subsidies as returns. They are both assumed to already reflect in these market prices and any adjustments are therefore unnecessary.

In economic analysis, the market price is often modified to arrive at what is popularly known as the ‘shadow price’ or ‘economic price’.  Taxes are levied on a project’s returns and are collected by the government itself. Similarly, subsidies are funds that society as a whole invests into the project, therefore necessitating differential treatment.

Treatment of Interest Payments

Interest payments are treated as a cost in financial analysis as they are the additional amount that the stakeholder has to pay to external bodies along with returning the borrowed capital. Often these interest payments are incorporated into the evaluation of NPV in the discounting factor – the internal rate of return.

From an economic perspective, however, interest on capital invested by society is also returned to society as again on the capital, thus again removing the need for any separate computation.

A study of financial feasibility versus economic feasibility can help develop a further understanding of the two topics. Financial feasibility is based strictly on profitability and sustainability. A financially feasible project, therefore, might not be economically viable if the overall impact on society is negative. On the contrary, an economically viable project may not always be financially sustainable. The government may, however, choose to take up such a project by supplying additional funds, owing to its positive impact on society.

Also Read: How Do I Get A Job in Financial Analysis?

What are the Uses Of Financial Analysis

What Skills and Certifications Should You Acquire to Make a Financial Degree More Marketable After Your Graduation?

Immediately after graduation, the accounting and finance certifications are validations of your skill set and a big leap towards your career goals. Continued learning is also essential to ensure you stay abreast of the latest best practices, techniques, technological advancements and market trends. Here are some of the best certifications in accounting.

The top accounting certifications

Depending on your career plan, resources, specialization choices, and eligibility here you can choose your certification. These have different prerequisites in terms of educational background, experience, and examinations taken to be finally added on to your resume.

All of them provide you with a well-defined skill set meant to ensure you are industry ready and have the required skill sets.

Take a look at these three corporate accounting certifications oriented to give your resume and career a boost.

• CPA- Certified Public Accountant validated by AICPA
• Chartered Global Management Accountant granted by AICPA and CIMA
• Certified Management Accountant sponsored by IMA.
• A financial analyst course
• The financial analysis prodegree by ey

For a career as a financial analyst, these five certifications are globally recognized for financial and banking services.

• Chartered Financial Analyst by the CFA Institute
• Certified Financial Services Auditor by the CFSA for risk, audit, and fraud management careers
• Certified Internal Auditor validated by IIA for managers and audit experts.
• Certified Fraud Examiner by the ACFE
• Certified Government Auditing Professional accredited by the CGAP
These two certifications are for accountants with IT careers.
• Certified Information Systems Auditor granted by CISA
• Certified Information Technology Professional by AICPA

The importance of certification
Here are some of the obvious benefits:
• Certification theory upgrades and revises your knowledge with updated information
• Certification is an eclectic blend of the necessary theoretical and practical skills required. Certification is a tool to upskill the experienced employees which are today crucial to further growth
• Certification is a validation of your practical skills

Pros:
For the fresh graduates:

  1. Certifications give you a unique standing. Certification validates the point that you are industry ready and have both the conceptual and practical skills required
  2. A certification enhanced resume stands up for itself. HR Managers and screening assessors of your resume treat certification as necessary validation for the job. It adds the professional touch
    For working professionals:
  3. Growth opportunities abound with the scaling up of certification. The process of certification allows you to touch base with new developments and revises what you have not practised on for ages.
  4. Certification empowers you. It validates your skills and tells the world you have the practical skills of an ace in your field.Cons:

     

  5. Certification may not give you a salary advantage. It can keep you in the race and increase possibilities for you.
  6. Certification is no guarantee of a job. It cannot guarantee you have the skills required for the job on hand.
  7. Certification is not the criteria of selection. Skill is when it comes to the final assessment. Performance is the only consideration.

If you have the inclination towards a career in the financial field, then a financial analyst certified course is a good choice for you.

We offer financial analysis courses at our centers in Mumbai, Thane, Pune, Delhi, Ahmedabad.

Also Read: Top 3 Skills For Financial Analyst

What are The Training Topics of a Course For Operation Financial analyst?

What are The Training Topics of a Course For Operation Financial analysts?

The operational, financial analyst needs a very thorough study of theory and the applicability of theory to practical situations. The best option is to do financial analysis courses.

Here are what topics the financial analytics training courses cover. The course topics are covered in detail with case studies, practice assignments and quizzes.

  • How to use Excel
  • Undertake data analysis and manipulation in Excel
  • Basics and concepts in accounting
  • Analysis of financial statements
  • Inferences and forecasting methodology from financial statements
  • Valuation of business from financial analysis data
  • Dynamic and flexible financial model making
  • Data visualization charts in Excel creation and presentation
  • Accounting statements preparation for any company
  • Create balance sheet, cash flows statement and income statement from the basics onwards.
  • Ratio analysis from company financials preparation and interpretation
  • Using a framework to compare different companies financial performances
  • Creation of  financial models that are forward-looking and integrated
  • Forecast, extrapolate financial ratios which are forward-looking
  • Discounted Cash Flows application and techniques of valuation on an actual company performance data
  • Apply valuation technique of Multiples to a real-world company data
  • Presentation enhancing tools like PowerPoint

Skills and requirements

A graduation degree or even a Master’s in Finance goes a long way. Add certifications that are relevant. Those from a non-financial background can also take these courses as most offer boot camps to bring you to speed.

Course advantages:

Depending on your career plan, resources, specialization choices, and eligibility here you can choose your certification. These have different prerequisites in terms of educational background, experience, and examinations taken to be finally added on to your resume. All of them provide you with a well-defined skill set meant to ensure you are industry-ready and have the required skill sets.

The courses offer a good grasp of basics, concepts, theoretical knowledge, practical skills and certifications that could help enhance your resume and career. They also offer boot camps, short term workshops, and knowledge valuable to enter the industry. Another advantage in such a course is of mentoring by certified and experienced industry aces that helps garner the latest best practices, techniques, skills, and practice on the latest trending technologies in the financial industry.

While certification definitely helps you need to be an excellent communicator and work diligently to acquire the best analytical and business skills. You will definitely need a basic degree in technology, finance or Management. Besides, technical skills in DevOps, IoT, Python, Machine Learning, Big Data, and Hadoop will definitely help in your role as an Operational Financial Analyst.

Non-transferable skills will also need to be developed and aligned with the enterprise’s needs. You must have the following traits.

  1. Interpersonal Communication skills
  2. Ability to solve problems creatively.
  3. Collaborative team skills
  4. Ability to work with ambiguity, pressure, and demands from the startup environment.
  5. Discipline and integrity since you will be working on financial transactions.
  6. A good learner as there may be no standard operating procedures in interpretations.

Conclusion:

An Operation Financial analyst has to have a gamut of traits besides training which can be acquired through online refresher courses. The importance of continued learning can never be stressed enough. Once you have your skills in place, there should be no doubt that you can actually do and act on what you have learned. Your certification validates you are industry ready. So just get ready and go for it.

The Career Path and Salary for a CFA holder

CFA or Certified Financial Analyst is considered as a very prestigious credential when it comes to the world of finance. Those professionals who are able to clear all the levels of this exam are ushered into this charter, which consists of world-renowned finance professionals and lucrative career opportunities. It is a common belief that all those finance aspirants, who are looking to pursue CFA, are usually looking to earn big in their respective careers. While this may be the case, there are certain things that every CFA aspirant must know about. Firstly, that this examination, is really a tough nut to crack and this by no means is meant in a demotivational way. Any candidate must do a thorough research about this examination, before attempting it. This research must include the amount of time one must spend studying, as well as the various opportunities and salary trends in this field.

According to a certain statistical data of the year 2014, it was concluded that all the charter holders, or those who crack the CFA exam, usually opt for a career in Portfolio Management. This is mainly because it is considered to be the highest paying career option herein and close 22% of the applicants, chose to pursue their career in this field. While 15% of the CFA holders opt to become a Research Analyst, about 7% opt for Chief Executives, Consultants (6%), Risk Managers (5%), Corporate Financial Analysts (5%), Relationship Managers (5%) and Financial Advisers (5%). So if you are a finance aspirant looking to crack this prestigious examination, the four top positions that you should look at as career options, would be Portfolio Manager, Research Analyst, Chief Executive and Consultant. Let’s move on to the employers, who are known to hire the cream of CFA holders, across the world. These employers are most often top investment banks like JP Morgan Chase, PwC, HSBC, Bank of America Merrill Lynch, UBS, Ernst & Young, RBC, Citigroup, Morgan Stanley, Wells Fargo and so on.

Studies show that about 60% of the CFA charter holders are usually residents of the United States of America. While according to the CFA Society of Chicago USA, the median compensation, for any fresh graduates and CFA charter holders would range anything from US$215,542 annually to about $ 154,025 per annum. Whereas, on the other hand, for someone who is just a graduate and does not hold a CFA charter, the salary would be anything around or more than US$ 85,875 per annum. Apart from USA Europe also pays these charter holders handsomely, thus a CFA charter holder would earn anything between $124,000 per annum. While it is the country of Australia, that is known to pay the highest salaries for CFA holders, while in India, it is the city of Bangalore, which pays the most.
There are a number of people, especially in India, who attempt to clear this examination every year. While most of them choose to get trained professionally, from Imarticus Learning, to better their chances of entering this coveted charter.

CFA Certification Provides A Gateway To Million Possibilities

In the world of Finance, the CFA certification or the Chartered Financial Analyst certification is a very well-known and prestigious certificate to hold. Those who are able to crack these exams, are popularly known as Charter Holders and become a part of the exclusive organizations and are able to get entry, without any prior entrance examinations. Apart from the exemplary job opportunities, there are amazing salaries that are offered to the professionals, who crack all three levels of this examination. Due to the fact that even a working professional can attempt to give this examination, as well as the considerable affordability of it, have resulted into a lot of people opting to attempt the same.
Through a CFA certification, a candidate can find a means to not only boost their management skills, but also ace investment analysis. This examination usually helps a candidate, cover industry practices, which include both ethical as well as professional standards in addition to academic theories. Anyone who is looking to take a shot at cracking the three levels of this examination has to well versed with a number of concepts like, Quantitative methods, Economics, Financial Analysis, Portfolio Management, Equity, Fixed Income, Derivatives, Alternate Investments and so on. The three levels of this examination, are devised in such a way as to inculcate the aforementioned concepts, in a better way. For a CFA holder, the gates in terms of job opportunities are wide open, for they can choose from a number of fields like research, analysis, accountancy, corporate finance, consultancy and relationship management; as the field of their expertise.

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Apart from the rewarding job prospective, this exam ensures that a charter holder is able to cultivate broad knowledge in terms of investment skills as well as decision-making tendencies, up to the quality of the global financial industry. As the program and the examination, both are entirely based on finance, they encourage a candidate to shine really well through a career in Investment Banking. If and when a candidate chooses a program, to help and assist them in cracking this prestigious exam, these programs are generally dependent on extensive global practice analysis processes, which are basically dependent upon inputs, discussions, surveys as well as reviews, which are all curated from esteemed CFA charter holders.
The CFA program has already been at the receiving end of a number of accolades, including that of the best course, which goes on to provide a great amount of quality, in a profession like Investment Banking. Being a charter holder, not only opens up a million, lucrative possibilities but also ensures that the recipients are well equipped to be on a sub-par level when it comes to skills required for Investment Analysis worldwide.


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