July 13, 2021 - Finance, Tech & Analytics Career Resources

What Is the Pay Progression for a Career in Financial Analysis?

Posted on July 13, 2021May 14, 2024 by Imarticus

Financial analysis is important to predict the financial impact of any business decision. Financial analysts use business data to forecast and to decide the impact of any financial decision. They provide periodic reports to their clients which helps in keeping business in profit.

There are senior as well as junior roles in the financial analysis sector. Often, financial analysts work on a junior level and open a lot of job roles for them by their performance.

Let us see the pay progression for a career in financial analysis.

What is a Pay Progression?

A pay progression is an increase in wages/salary because of the upliftment of the job role. For example, a junior financial analyst moves on to a senior role and is provided a hike in salary. It is different from salaries increased due to inflation or bonus given to the employees by any particular firm/company. Pay progression does depend on individual performance and career growth.

Pay Progression for a Career in Financial Analysis
If you have joined a firm as a junior financial analyst, you will be working under a senior analyst. One can directly become a senior analyst if he/she has an advanced degree in finance and analysis. Many junior analysts work on junior roles and then leave to gather advanced degrees after gaining a little work experience. According to payscale.com, a junior analyst in the USA earns around $50,000 per year and according to surveys conducted by indeed, a senior financial analyst earns around $72,000 per year in the USA.

There are a lot of job roles in the financial analysis sector like financial advisers, financial managers, budget analysts, junior and senior analysts, etc.

The upward mobility is quite high in the field of financial analysis and one can build a good career with his/her performance and results. One can work hard and can rise to good positions like the fund manager, chartered financial analyst, etc. which have high salaries.

The financial analyst course must help your clients to make better financial decisions. A good financial analyst helps a company/firm in avoiding those business decisions which could result in financial instability. The more profit you provide to your clients, your reputation as a financial analyst will grow and you can move to senior job roles quickly.

Career Path in Financial Analysis
The major job roles in terms of hierarchy from junior to senior job roles in the financial analysis which will give you an idea of pay progression in this field are as follows:

• Junior Financial Analyst is the basic step in the field of financial analysis. A junior financial analyst forecasts possible investment opportunities & analyses the business decisions and produces detailed financial reports.

• Senior Financial Analysts are the ones who have an advanced degree in the field of finance and have some work experience. They review financial reports and make recommendations.

• A director is one who has massive work experience in the field of finance. He has a team to guide and coordinates audits.

• Chief Financial Officer (CFO) is responsible for managing debt, equity, and financial forecasting. According to Investopedia, the average salary of a CFO in the USA is around $371,548 per year which is massive.

Conclusion
One has to perform well in terms of advice, reports given to his/her clients to grow his/her financial analysis career. There is a lot of upward mobility in this sector thus opening the path for a hike in salaries. One can take up financial analysis courses available on the internet via elite sources to boost his/her knowledge and to apply it in their job. This article was all about pay progression and career opportunities in the financial analysis sector.

RPA Lifecycle – Everything About Different Stages of Bot Development!

Posted on July 13, 2021March 26, 2024 by Imarticus

Robotic Process Automation (RPA) in Machine Learning is a hot topic right now. Aspiring learners are looking to amass knowledge in it while IT professionals are looking to gain hands-on experience. In this quest, you are bound to come across the RFA lifecycle which is how bots are built from scratch.

Let’s take a look at the critical stages of bot development.

RPA Lifecycle

Before we get into the stages of bot development, let’s first understand what Robotic Process Automation in Machine Learning really is. In laymen terms, RPA allows a process to be automated using software, robots, or any type of bots so that human intervention can be minimized.

Ever contacted the customer support of Amazon.in and a chatbot suddenly appeared on your screen? That is RPA in motion. It involves mimicking a human activity so that basic actions (like responding to a customer’s query about a recent purchase) can be automated. This helps reduce costs and human resources.

Let’s move on to the different stages of bot development.

Discovery

In this phase, the brief provided by the client is analyzed.

Can the process be automated? Can a bot for the said process be built? What are the challenges and advantages of building it?

Answers to these questions will give the entire RPA development team a clear understanding of the project. Thorough coordination with the client is essential in this phase.

Solution Design

In this phase of RPA in Machine Learning, a Process Definition Document (PPD) is created which provides detailed information about the process. A flowchart is then created that will act as a blueprint to the bot creation. What actions will trigger the bot? How many elements should it include? Such questions are asked.

This is perhaps the most important phase of Robotic Process Automation in Machine Learning as the information gathered here will heavily influence the final product: the bot.

Development

Once all processes are established, the next step is development. This is the longest phase in RPA in Machine Learning and can extend depending upon the scope and volume of the project.

Different RPA tools are used to develop bot. High levels of coding are executed in addition to automated tools and templates. This is where skilled and experienced individuals in the ML field is required.

The key element of the Development phase is to test how extensive the build of the bot is. Have all scenarios and outcomes been tested and there is no gap in the development? Will there be a situation when the bot goes live and it fails to act? Proper coordination with the research done in the initial phases is extremely important. This will ensure the bot is a success.

Testing

As the name suggests, this stage involves all types of testing. From the user interface to the backend, all elements are rigorously tested to ensure there are no loopholes.

In a way, Robotic Process Automation in Machine Learning is a complex procedure. Testing, therefore, is the second-most important phase because the findings in this stage can make or break the project.

Deployment

Last on the RPA lifecycle is the deployment stage. Here the bot goes live on the frontend and is ready for user interaction. Maintenance and bot execution are generally part of this stage.

That is the RPA lifecycle in a nutshell for you. Of course, when you go deep into each of the stages discussed above, you will understand the complexity of RPA in Machine Learning. It’s an interesting concept but one where the lifecycle has to be religiously followed to avoid mistakes.

What if you would like to switch your career towards Blockchain?

Posted on July 13, 2021July 15, 2021 by Imarticus

There has been an incredible advancement in the evolution of Blockchain technology over the past couple of years. In various sectors in society, from healthcare, education, logistics, industrial supply chains and more, Blockchain has been adopted and implemented in industries.

Due to its use cases and positive reviews, Blockchain-based pilot projects have been part and parcel of the global scenario and possibly the dawn of a new technological revolution. If you are looking to pursue a Blockchain career, there could possibly be no better time than this.

What is Blockchain technology?

Blockchain is a data recording database that is both encoded and dispersed with working similar to computerized records of transactions, contracts or even money. Blockchain technology is mostly useful to protect the transfer of confidential documents like contracts, money, property and more without any third party like a government or a bank interfering in the same.

Once information is stored and encrypted inside a block, it is not possible to change it or tamper with it. The most important and highly useful feature of Blockchain is that it can be accessed across multiple computers.

How to start a career in Blockchain

A fairly new technological segmentation itself, Blockchain careers might not be your run-of-the-mill jobs. In today’s day, technical skills make for a much stronger ground than a candidate’s educational background. Although you can start off as a novice, it will be an added advantage if you have or a similar professional field.

It is not absolutely essential to have a formal education and you can easily start by signing up for a professional Blockchain course. A course in this field can turn out to be highly useful for you if your goal is to master topics in the cryptocurrency space.

Most professional courses teach you the working of the Blockchain platforms along with a solid understanding of the basics, essential vocabulary, key concepts, along with important tools like docker, truffle and more. The main goal of any professional course is to help you understand the A-Z of Blockchain technology and how to implement it in the real world.

Most importantly, a certificate Blockchain course will also teach you how to prepare your own sample Blockchain application, or how to build an actual Blockchain use case later on in the near future.

Most courses on Blockchain technology cover the essential ideas of cryptography and how it is related to Blockchain, and in case you’ve already worked as a developer, engineer or tester, you have an added advantage. Additionally, the course may teach you more about required programming languages like Go, Solidity, or Simplicity, that you may need to develop a Blockchain application.

Blockchain career options

With a bright and evolving future, Blockchain is playing a crucial role in everyday lives. Careers in Blockchain have been and will change the professional world in terms of technology, and before you completely seal the deal, here are a couple of career options you can pursue in Blockchain once you’ve gained professional knowledge in this field.

Blockchain Developer
Blockchain Quality Engineer
Blockchain Designer
Blockchain Legal Consultant
Blockchain Project Manager

Conclusion

Careers in Blockchain technology are making uproars in the technical world in terms of scope and advancement with top companies looking to hire professionals with an in-depth understanding and working knowledge in this arena.

Cryptocurrency has already changed the face of the world economy in terms of security and the bigger picture looks good. So, think about where your interest lies, conduct basic research about the possibilities and challenges you may face. Once you’ve made up your mind, go for it!

Python Developer Salary in Terms of Job Roles

Posted on July 13, 2021April 2, 2024 by Imarticus

What is Python?

The second most liked Programming language in the world, Python is one of the widely used term in the web-development world.

Who are Python Developers?

The web-developers who design and code the software applications with the help of Python language are referred to as Python Developers.

Roles and responsibilities of Python Developers

Python Developers as Data Scientists

Major businesses in today’s world require tools and skilled people for the data-related tasks such as data collection, data cleaning and processing.

Data Scientists are the programmers who do these tasks for the organizations. Data Scientists gather a large quantity of data and convert it into a useful form, followed by recognizing data-analytics solutions for organizational growth.

Data Scientists encourage the data-driven approach in organizations to deal with complex business problems.

Artificial Intelligence

In AI Python Developers create and implement the required Machine Language algorithms. They analyze the success and failure of the algorithm and rank them according to their performance for future use. Training and Retraining ML algorithms is one of the key tasks performed by Python Developers.

Salaries of Python Developers in India

The changing focus of the organizations on data-driven solutions is resulting in a manifold increase in the salaries of the Python Developers. In the coming years the demand for AI-skilled people will increase, and hence the salaries.

Major IT giants like Google, YouTube, Amazon etc. are adopting Python-driven systems and hence, manifold increases in the salaries of the Python Developers.

The entry level salary of a Data Scientist is approximately INR 500,000 per annum (Source: payscale.com) Data scientists with 5-9 years of work experience gets +100% more salary in India. With the experience and refinement of the skill, the salary of Data scientists shows exponential growth.

An entry-level engineer who develops the ML Algorithms earns the average salary of approximately INR 700,000 annually. With further experience and refinement of the skills, the average salary of the Data Scientist shows exponential growth.

Factors affecting the Salaries of Python Developers

Job location: Considering the increasing demand of Python Developers, not only in India, the faster salary growth is visible in UK and in US.

Location	Approximate Average Salary in INR
Gurgaon	700,717
Bangalore	669,787
Delhi	600,000
Mumbai	579,728
Chennai	540,131
Hyderabad	475,000

UK Python Developer annual salary	£67,000
US Python Developer annual salary	$117,000

Experience:

Python Developer	Approximate Salaries in INR
Entry Level Python Developer	427,293
Med-Level Python Developer	909,818
Experienced Python Developer	1,150,000

Refined Skills:

Mere understanding of the Python is of no use, till is integrated with the problems and solutions. How one uses the well-known Python tools define the person’s skill set, which is a determiner of the salary.

Job Role:

Python Developer	Approximate Average Salary in INR
Data Scientists	700,000
ML Engineer	670,000
DevOps Engineer	660,000
Software Engineer	500,000
Web Developer	300,000

Should know more interesting things about Python programming training and Python career.

Day: July 13, 2021