Interviews can be daunting and nightmares for an underprepared candidate. One can never be fully aware of what is going to pop up in the interview, thus there can be no hard and fast rule for preparation. As far as an interview for Capital Market beginners is concerned, there isn’t any set formula. To start with the preparation for the interview, you have to research, analyze and make proper framework. Your strategies will decide how well you will perform in the interview.
Finance is an ever-changing, stress bringing industry and the interviewer aims to test if you can handle the heat. Just being aware of technicalities is not enough, you will be tested for your problem-solving attitude, behavioral ability, management skill and so on. Here are a few tips that can go handy, fairly giving you ideas to boost up your preparation,
Know Your Resume:
It is your resume that presents you in front of the interviewers, much before you face them. They are free to judge you by your resume. Hence, you ought to have command over it. It is up to you to make the best use of it by highlighting your strengths and area of interests. It becomes really important that you don’t brag in your resume and prepare it skilfully.
Be aware of the current market scenario:
Even though you are a Capital Market Beginner, it is expected of you to be aware of what is happening in the market. Questions will pop up about trends and happenings in the related field.
Have Clear viewpoints:
If you are a beginner, you may not know the correct and exact answers to the question, but you must have a clarity of view. The interviewer will not like to see to you juggle from one viewpoint to another. You need to have a clear head which shows your confidence level.
Know the technical aspects:
The finance sector is full of technical details and you need to have a fair idea about the basic jargons and knowledge of the subjects. Academic excellence is always required in this field along with personality excellence. So, have command over accounting and finance topics.
Focus on the soft skills:
Leadership abilities, teamwork ability, your strategies, and problem-solving skills, commitment level, creative thinking, analytical thinking and personality, all come under the soft skills that the interviewer surely looks out for. They may try to stress you out, or give you situation based problems just to check your patience and calmness.
Research about the organization:
Every organization has a certain ideology which you need to dig out. Once you know about the belief of the organization, you can give them those pleasing and impressive replies.
Examine the requirements:
When applying, you need to know about what the interviewers are seeking. These can be about qualifications, qualities, and background of the candidates. Align yourself with these details and show yourself as a deserving option. These descriptions may also give you ideas about the questionnaire.
There are several options available out in the open that will help you prepare for the training interview. This information can be found on your fingertips and are well suited for the purpose. Methods can be opted to be prepared for the interview are :
Capital Market Courses:
There are several certified courses in capital Market that are not time taking but will help you gain a basic idea about Capital Market. These courses are certified and can be availed both online and offline.
Blogs and Sites:
There are numerous blogs and websites dedicated to preparing the candidate for the interview. They provide fair knowledge about the questions that can be asked and how to respond.
Videos:
With just one click you gain access to several videos focusing on the tips and tricks to excel in the interview. Some of these videos feature experienced and veterans of this field who share their knowledge and experiences to guide the candidates.
Mock Interviews:
Mock interviews are a great way to overcome the interview phobia. Several sites run these mock interviews to give the candidate a realistic experience of the interview.
Prepare well, be learned about the financial news and trends and know the academics thoroughly. Besides, never forget to shape up your analytical and thinking ability. Don’t show the rush to answer. Take your time, allow the interviewer to judge your thinking process and then, answer with confidence. And with proper preparations, you can ace the interview.
For more details, in brief, you can also contact our career counselor. For that, you contact us through the Live Chat or can contact on – info@imarticus.com or 1-800-267-7679 or can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Hyderabad, Delhi, Bangalore, Gurgaon, and Ahmedabad.
Day: July 5, 2019
What Do Experienced Data Scientist Know That Beginner Data Scientist Don’t Know?
The one thing that sets the experienced data scientist from the beginner’s data scientist career is that 99 percent of data sciences lies in the effective use of story-telling!
At the start of one data scientist career, most have the same skill-set as the top scientists with many years of experience and are job-prepared. The best of them learn to use their tools and techniques gained with practice and expertise to become excellent at using data to tell a compelling user-story. A data scientist in the early stages of the career is actually practicing as an analyst of data and probably comes from any of these fields. Namely,
- Data analysis and wanting to pursue academics.
- Analysts on the business intelligence side.
- With computer science, statistics or mathematics expertise.
Large doses of the previous job role are normally used at the beginning of the data scientist’s jump into this field. That is being job prepared! And it will not be uncommon if the analysts are the busy rattling of their insights on blodgets and widgets, the business intelligence or business analysts present information in complex tables and graphs, and the group of CS, mathematicians, and statisticians write code the whole day. But that is not what a data scientist’s role is about especially in this role.
Whether you have deep learning knowledge, can crack ML algorithms, or write compelling codes for vector classifiers the skills you will need to be an excellent data scientist are not the same as the skills you landed the job with.
Your job is to use the data to tell the most compelling story while using your skills, tools and techniques learned to graphically illustrate your narration. Compare your story to a thrilling novel that you can’t put down till the last page. Your tale has to be anchored to the data and last till the final calculations are presented.
Story-telling skills:
For this, you will need the following skills they did not teach you in college and comes with aptitude, practice, and experience in a Data Scientist Career. Let us explore these attributes.
- Structure: This is the manner of presenting data and information in an easily comprehended, logical, no-nonsense and understandable way that any reader or user can relate to. That’s precisely why most storybooks introduce their characters in the first few chapters itself. Most people err in not defining the issue and pitching its solution at the very start of writing.
- Theory of the narrative: Good stories sustain interest till the very end and that is the essence of the narration. Keep your lines tight and use your data findings to get the story across cogently.
- Expressive writing: This is the essential glue that holds the interest, tells the narrative and proves your point clearly and without ambiguity. Your grammar, sentence construction and choice of apt terms and words will go a long way and comes only by practice. Whether it be an email, a press note or internal communication remember that it may land on the table of the management head or your juniors.You wouldn’t want spelling and syntax errors in your calculations or writing style. Avoid ambiguous terms, technical jargon, and irrelevant information. At the beginning all tasks are difficult. They do ease out with regular practice and learning the right way to do things.
- Presenting complex information: Being a data scientist isn’t totally about writing those accurate reports. As you move up the ladder you will be asked for your views, suggestions, and assessment. These are of a highly complex and technical nature and you need to train yourself to present your views without compromising accuracy, truth or the crucial data supporting your premise.This needs a lot of practice in all the above attributes to reach a level of credibility coupled with all the essentials and ingredients of the story. If you fail here you are possibly doomed to remain in those middle rungs of your career and can never rise to the top. Wisdom and skill are not gained by the number of years you spend on the job. They are learned on the job with regular and dedicated practice.
Conclusion:
The difference between the artist and artisan is the situation that occurs in the Data Scientist Career. No matter what your background is, excellence at the data scientist’s job comes from practice and learning from experiences. In data sciences, you will not only have to acquire the right tools of the trade, but you will also have to excel at wielding them artistically to tell the story WITH data. Not tell the story OF data.
At Imarticus Learning the data scientist learns this during the training in the soft-skills and personality development modules. Begin your story-telling today!
Why Does Fintech Business Increasingly Prefer Python As a Primary Programming Language?
The last decade has been all about FinTech which has played a crucial role in many areas of financial transactions through smart use of technology. And Python definitely scores as the most popular language to use.
Here is why.
As taught in most fintech course financial services need the most-apt application to optimize costs, planning and the amalgamation of financial services. A HackerRank investigative report suggests that Python is the most popular language in use for FinTech firms in the US.
The report by e-Financial Careers ranks Python among the top 6 machine codes for the banking sector. Thus, doing a Fintech Course at a reputed institute like Imarticus can help you with certification and giving you the ideal launch into the technological world of fintech where well-paying jobs abound and demand for personnel is fast becoming a rage.
The fintech data science advantages of Python:
The fintech startups work with financial transactions that need records to be unchangeable, immutable and hard to tamper with. Decisions cost money and setbacks when they go wrong. The industry thus needs a ready-to-use programming language with ample libraries, components and high-performance maturity such as Python.
The Hacker Rank 2016 Study across the famous six of health care, media, and gaming, social media, security, fintech, and finance industries searched for the best popular programming knowledge.
Python, especially for fintech industries and as taught in Fintech courses, outstripped the rest by a huge margin in the performance testing on coding challenges. It also proved to be very popular in the financial sector.
The Python benefits:
Some outstanding features that set Python apart are
- Simplicity and accuracy: Python has low bug-rates and error rates than the other programming languages.
- Speed: Though not the fastest it scored in the time-to-market optimization tests.
- Syntax: The collaborative syntax is straightforward in Python and is easy for interconnecting the C-suite, developer and technical-expert languages.
- Libraries: The huge repository of free open-source libraries can be used for ready-made solutions in the financial and fintech sectors and are popular for training purposes in fintech courses.
Use of python in industries:
Python is being widely used today in banking and is widespread among the hedge, investment and corporate finance bankers. This is because of Python scores in handling quantitative challenges in trade management, risk management, and pricing. It also makes use of its large number of libraries to handle issues related to analytics, compliance, data, and regulation.
Bootstrapped fintech startups may use various back-end programming languages. But from the point of view of time, efficiency and effort spent, Python outdoes the rest for fintech use. It is growing very quickly and has the potential to be supportive in almost any industry it is used in. No wonder Python is so popular, reliable and accurate!
Python can hence be effectively used in software for the following sectors and is great at multitasking especially as a back-end server.
- Financial analysis
- Insurance
- Fintech
- Banking
- Stock markets
- Data analytics
- Cryptocurrency transactions.
Python Projects in Fintech:
Success and Python implementation are synonymous when blended with FinTech ideas. Look at the P2P lending platform Zopa which uses a mix of Java, C#, and Python. Zopa helps the borrowers and creditors transact free of intermediaries. And Python has helped the algorithmic models of Zopa execute complex transactions on blockchain enabled platforms.
Even the payments system like Stripe, Braintree, Paypal, and other receiving and processing systems use Python-based applications for the authentication of users and transactions mainly due to its wide array of ready-to-use libraries.
Conclusion:
Many fintech startups use C, R, Java, etc. But, Python is ideal for the challenges of the fintech industry. It has scored over many languages in its popularity over Java, C, R, SQL and others in the HackerRank challenges over the top 6 industries. Python emerged the ideal language for programming in the financial and fintech sectors. Obviously one would do well to learn Python because the top 6 industrial sectors are recruiting.
The jobs in the top industries prefer expertise in Python and are high-paying and have well-defined scope for progress and grow your career. If you want to learn the latest applications of Python in the fintech sector just check out the Fintech Training at Imarticus. Hurry as opportunities may be limited!
For more details, in brief, you can also contact us through the Live Chat Support and can even visit one of our training centers based in – Mumbai, Thane, Pune, Chennai, Hyderabad, Bangalore, Delhi, Gurgaon.
How Fintech Companies Are Impacting Millions of Lives In Tier II and III India
Fintech companies are pushing the boundaries of what’s possible in Tier II and Tier III markets in India. This is a huge opportunity that comes with financial inclusion to touch the lives of the unbanked rural customers, who with fintech’s technological innovation are personalizing and expanding their businesses to serve and impact millions of lives. Rural areas are yet to see better accessibility and proper social and financial inclusion.
But the scenario has improved because of three events that have allowed fintech to actually impact rural cash-driven customers in India. These are:
- The 2016 demonetization movement.
- The wave promoting e-commerce.
- Penetration of smartphones.
This promoted the proliferation of fintech industries catering to the rural sector by bringing new payments processing platforms, online transactions, and smartphone internet banking to the rural customers who far outnumber the urban clients. Let us quickly explore how the fintech industry has actually touched the lives of these people.
The watershed moment:
Rural customers in Tier II and III cities are dropping their mistrust of the online movement. The demonetization drive of 2016 meant to root out black-money saw India as whole embrace digitization of financial transactions. Coupled with the thrust of the government to boost the fintech sector and the push for financial inclusion, the watershed moment came with better penetration of the rural segment where banking transactions were yet to make a mark.
And yes, the smartphones were also instrumental in rural people trying and finding digitized transactions more transparent, safe and easy. Banking will never revert to the same again after this wave of digitization and technology impacting the rural customers.
According to NASSCOM reports the 2020 forecast of the fintech software market in India is expected to be USD 2.4 billion.No wonder then the figures reflect the changes in the pulse of digitizing the fintech way the tier 2 and 3 cities of rural India.
Reading the rural pulse of India:
Rural India contributes in big ways to the GDP and industrial development, as it is an untapped market and home to many businesses of the small-scale variety, which when cumulatively looked at, do contribute substantial millions to those GDP figures. Empowering the rural people with financial inclusion can not only improve these figures but provides a huge exploration area for entrepreneurs with a rural background.
The internet and online payment platforms are today making everyday life simpler and easier for the rural client who has to travel to far-off locations just for bill payments and banking. The unbanked rural segment is also seeing an improvement in billing and supply of water, electricity, gas, daily commodities procurement, etc.
Many e-commerce platforms, online banking, financial services like insurance, recharge for phones, small loans, shopping online has changed the face of rural India and the way they access and spend their money. This is the right ambiance for fintech industries to take their business up a notch and cash in on the largely untapped rural markets and thus improve the lives of millions living in those areas. Just stop for a moment and imagine the micro-enterprises getting instant loans and contributing collaboratively to the fintech sector.
Role of education:
Education is the key factor that can bring about financial inclusion. To change and impact more lives raising awareness and education is the only way to go. And the fintech industries are doing a good job through training camps and awareness sessions of their products and services in the rural markets.
To take it up a notch, regional language-based apps are being introduced to ease the rural customer onto the online platforms. These two measures are not only profitable for the enterprises undertaking them, but also impact the millions of rural persons living in the unbanked locations and geographies across India. Bringing the rural people into seamlessly using the fintech platforms, has been and continues to be, an area of prime interest to the fintech sector in its thrust aimed at taking the benefits of technology to these locations.
Conclusion:
Over the next decade, we can expect to see the fintech contributing to improving a lot of the unbanked rural sectors. This move will improve the industrial growth, the GDP and also impact positively the rural millions who are yet to see the major benefits of financial and social inclusion on all fronts. Fintech industries need to stay ahead of the curve and focus on products and services meant for rural clients. Do you want to learn how you can be a part of this revolution?
Do a Fintech course from Imarticus Learning and emerge career-ready with assured placements. Go ahead and impact the lives of your rural brethren.