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Day: October 26, 2020

20 Latest Data Science Jobs For Freshers

Posted on by Imarticus Learning

Data scientists are one of the most sorted after job profiles in recent times. As per the latest report, there are approximately 1 lakh openings for data scientists, analysts or AI skilled professionals. These are also good opportunities for freshers who do not have any experience in this arena.

The best way to land a good placement is to find out the prospects of such profiles and which industries or fields that are looking for such roles. Here are 20 of the latest data analysts, scientists, BFSI, Artificial Intelligence or related job openings for freshers.

  1. Data Scientist- 11 at Accenture in Bangalore. The job is related to the medical field, handling biotech, pharmaceuticals and healthcare as the functional areas.
  2. Associate Data Scientist at UST Global in Thiruvananthapuram- The role requires the integration of the delivery groups to the data management procedure.
  3. Fund Data Research Analyst, Morningstar India In Mumbai for the role of Managed Investment Data related to finance.
  4. Computer Vision & Deep Learning Engineer at SynergyLabs in Gurgaon expects you to work with Python or C++ for deep learning models and its analysis.
  5. Junior Data Analyst at Cognizant in Coimbatore for the role of Analytics and Business Intelligence having skills in coding and Pharmacovigilance & Safety Ops.
  6. AI/ML- Developer at Siemens in Bangalore is looking for graduates having Data Science qualification for developing applications that are prototypes for AI and ML.
  7.  Data Associates at Amazon in Hyderabad for Alexa Data Services organization and working with Amazon Machine Learning Science to improve the performance of Alexa.
  8. Content Risk Specialist at Amazon in Bangalore for content evaluation and record management for quality testing.
  9. AI Engineer at huddl.ai in Bangalore- The role requires you to be responsible for the delivery of a collaborative solution for unstructured data using coding, testing and deploying machine learning systems.
  10. Atmospheric Science Specialist at Genesis Ray Energy in Gurgaon is looking for professionals having expertise in machine learning and data science techniques to work with weather prediction models.
    These are just a few ideas on what to expect as a data scientist or data analyst. It shows that there is a wider scope in this field and that numerous business fields require the skills of a data scientist in many forms.
    Here are a few more opportunities for freshers in the data science field. These roles also have a similar job description and more or less the same skills requirements.
  11. Data Scientist at Arya.ai in Mumbai
  12. Jr Data Scientist at NextGen Invent Corporation, Delhi
  13.  Data Scientist, I at iXplore technology in Bangalore
  14. Artificial Intelligence Developer at 1Tab in Noida
  15. Data Scientist at PayPal in Bangalore
  16. Associate Data Scientist at PayPal, Bangalore
  17. Data Science at Accenture, Telangana
  18. Data Scientist- BFSI at Tata Consultancy Services, Bangalore
  19. Decision Scientist I at Flipkart, Bangalore
  20. Data Scientist- Operations Research at Grofers, Bangalore

As for the salary, freshers can earn anywhere between 1.2- 3.4L depending upon their qualifications, skills, and performance in their respective roles.

How to Become a Data Scientist?
Now that you have seen the prospects and opportunities of a data scientist, the first step is to find the most suitable data science course based on the job descriptions posted on various platforms. Find out what the companies are looking for and enrol for the best course or certification.

The most important point to remember is that any degree can help you become a data scientist. You just need to find out the best course that can help you be the one. It would also help to find the trainers who provide placement assistance by arranging for an interview to make your job hunting easier.

Related Articles:

What Are The Benefits Of Doing Data Science Course
Why Is Data Science A Good Career In 2021
Why It is Right Time To Pursue A Career In AI, ML & Data Science

 

Credit Risk Management Software Market Analysis, Growth Forecast From 2020 TO 2025

Posted on by Imarticus Learning

Credit risk may occur due to several causes. When a borrower fails to repay a loan or fails to follow a contractual agreement, it leads to Credit Risk. Credit risk may occur due to an unsettlement between investments’ interest rates and risk-free return date. Another cause of credit risk may be due to the downgrades in the risk rating of an issuer. The credit risk is calculated based on the buyer’s ability to repay a loan. For this, the borrower’s revenue, collateral assets, and taxing authority are taken into consideration.

The regulatory has stated several requirements to reduce the cases of credit risk.
This is where Credit Risk Management comes into the picture. The success of any organization in the finance industry depends on following best practices and using tools for credit risk management. Read on to know why a Credit Risk Management Course can be helpful to you.

Credit Risk Management and why it matters?

A global financial crisis or a credit crunch may occur unexpectedly. Due to the occurrence of such a crisis, regulators demanded more transparency. For instance, the banks ought to have complete knowledge about their customers and related credit risk.

With the introduction of Basel III regulations, the banks are burdened with tasks such as maintaining proper leverage ratios, keeping certain levels of reserve capital on hand, etc. A better credit risk management not only helps with following the regulatory requirements but also helps in the overall performance of the organization as well as securing a competitive advantage.

The new stress testing requirements these days are imposing higher capital standards from organizations, forcing them to manage capital while meeting regulatory constraints. While it is mandatory to maintain the required level of regulatory capital, it is also important that the organizations adhere to both CCAR-style stress testing and regulatory capital(RegC) as well.

An effective credit risk management requires several steps to be followed. It is important to understand the bank’s overall credit risk by knowing the risk at various levels like individual, customer, and portfolio levels. A thorough risk assessment is needed for banks to get consolidated risk profiles that are originally scattered among various business units. A consolidated and quantitative credit risk solution is important.
Implementing better model management, real-time scoring and limited monitoring, robust stress-testing capabilities, business intelligence tools, and data visualization capabilities can be used to better the credit risk management measures.

Credit Risk Management Software Market Analysis, Growth Forecast From 2020 TO 2025

According to reports, the global credit risk management software for banks’ market size is expected to grow throughout 2020 – 2025. The reports state that there is going to be a huge market growth in 2025 compared to that of 2019.
Credit risk management software provides detailed reports on several important sections like analysis of global market size, local and country-level market size, market share, competitive landscapes, growth forecasts, trade regulations, recent developments, strategic market growth analysis, analysis of various opportunities, expansion of area marketplace, etc.
You can request a sample report on credit risk management software comprehensive analysis, share, growth forecast from 2020 to 2025 from the below: https://www.express-journal.com/request-sample/225413
(source: : https://www.express-journal.com/credit-risk-management-software-market-225413/)

Why Credit Risk Management Course?

After the global financial crisis in 2007-2008, the banking industry is now surviving by following adequate credit risk management measures. Operational, technological, talent and liquidity risks have always been an area of problem for financial sectors. Hence, you will find a number of interesting job opportunities in this field. If you are interested in Statistics, applied mathematics, quantitative engineering, or related fields, then a Credit Risk Management Course should definitely be your pick.

A New Era of Fintech With Customer Engagement!

Posted on by Imarticus Learning

The term fintech is an amalgamation of finance and technology. Thus, when financial institutions use technology to offer financial services, it reflects the fintech course of functionality. According to EY Global Fintech Adoption Index, India has the quickest growing fintech market with an 87% adoption rate. Other countries have an average of 64%, which is comparatively lower.

Recently, RBI shifted focus towards fintech industries by creating a special department that only caters to this. By 2026, the digital payment market is estimated to reach $10.7 trillion and make the economy cash-free. Policymakers are making online payments safer to build trust among customers.

How is India growing the fintech course?

The most trustable financial institutions are banks. Thus, when banks collaborate with growing fintech companies, customers are more likely to trust them too. Many growing companies in this niche approach banks to work hand in hand. If approved, they have a massive consumer base to expand their market. Moreover, when banks collaborate with such financial institutions, their joint expertise can make customers’ lives easier.

Secure digital payments

Due to strict guidelines set by the Reserve Bank of India (RBI), digitally running financial companies have to enable high security for payment processes.

Secure digital paymentsThe most crucial part is keeping customer data safe. Cyber threats are constant challenges, so strengthening payment gateways is a priority.

The companies must create awareness to educate their customers about making safe digital payments. They must give details on how to protect their information. Moreover, doing this can make them more reliable for their customers.

Tech providers use API-based systems to ensure complete security. They incorporate features like tokenization, risk-based authentication, and interceptors to maximize safety. These features safeguard customer’s personal information from cyber threats. As India is rapidly growing in terms of digital payments, such security measures need to work efficiently.

Increasing digital transactions for rural areas

Since the pandemic began, people became a lot more conscious about payments. More and more like to use payment wallets instead of carrying cash or cards, to limit touch. However, India’s rural areas still prefer dealing with cash instead of digital modes and depend on local banks for their regular financial requirements. Some of the crucial reasons behind these are:

  •       Lack of education and technical know-how
  •       Limited digital infrastructure
  •       Fewer merchants using digital methods to accept payments

In such a situation, fintech companies can play a significant role by associating with local banks.

Increasing digital transactions for rural areasThey can provide infrastructure for digital payments and increase awareness among rural consumers to build their trust.

The co-operative financial institutions can help merchants incorporate online payments in such places. They also need to widen possibilities by educating them about offline payment solutions like QR codes and PIN. Such features can work in areas with poor internet connectivity. Thus, these measures can help co-operative banks upgrade faster and offer complete security.

Modern banking improves experiences for end-users

Just how digitalization makes things easier and quicker, customers expect financial institutions to keep up with the pace. As a customer, you will want the fintech course to be personalized and hassle-free.

Fintech CoursesOn one hand, RBI makes sure that digital payments became more secure and keeps fraudsters away. On the other hand, finance companies strengthen their technology base to provide seamless solutions.

With artificial intelligence, machine learning, and Big Data, the companies understand their customers closely. They can serve them in real-time and offer instant solutions.

With robust API solutions and top-notch security, the financial institutions aim to provide a high success rate for online payments. Thus, these measures will enhance customer experience and make money management more effortless.