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Professional Certificate in Financial Analytics Course

Become an expert in Financial Analytics with ‘Certification Course in Financial Analytics’. Boost your career in the space of FSI with Statistical Analysis, Machine Learning, Predictive Analytics, and many more.
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Financial Analytics course - 360digitmg
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"The size of the Financial Analytics industry in India is 2 billion USD in revenue while the global Financial Analytics market is expected to grow to 11.5 billion USD by 2024." - (Source). The Financial Analytics market size is around $ 1.5 billion in terms of annual revenue. From algorithmic high-frequency trading to payment wallets or P2P lending every aspect of the financial services market is infused with analytics technology. Financial Analytics Course enables evidence-based rather than intuition-based decision making. With the help of advanced analytics, businesses can identify future markets and avenues for greenfield ventures. Statisticians can develop strategic pricing models to boost revenue growth. The rumble in fintech has led to a surge in the requirement for Financial Analytics Course professionals in our country. Most financial companies are moving up the value chain with the help of savvy analytics professionals.

Financial Analytics

Program Cost

INR 12,000/-

Overview of Financial Analytics Course

This Financial Analytics Course program explores the myriad possibilities of improved financial transaction performance and revenue growth that ensue when machine learning approaches are integrated with traditional humdrum financial processes. This course attempts to uncover the potential applications of Data Science and Machine Learning in the  BFSI industry. This financial analytics course is specifically designed to enable learners to get the required set of skills to advance their careers in the finance industry. Analytics enables automation and advanced statistical software to analyze gigantic volumes of data. In the Insurance sector, financial analytics course makes it possible to create individualized tailor-made products to meet the future needs of customers, Data Analytics gives insurers the freedom to assess the risk and profitability accurately. This translates to better underwriting decisions and generates premium calculations adjusted for risk. Data Analytics can also be used to prioritize claims. This enables faster settlement of straightforward claims.

In the banking industry financial analytics course helps us in analyzing the historical transactions and trading of customers and deliver better-targeted services which will mean customer retention. We can also assess the risk profile and creditworthiness of customers well in advance. Early warning loan default models can predict a loan default well in advance and reduce the risk cost. This enables better fraud detection. Advanced analytics allows banks to provide a faster response to routine requests e.g. the position of an ATM, the amount of cash to be stacked in one. Advanced analytics can be used to tap real-time data from smartphones and the internet from mobile banking and internet banking customers. This data then can be examined to improvise upon the customer experience. Machine Learning enables banks to develop new business models and identify a better source of income from data collected from customers.

Learning Outcomes of Financial Analytics Course

Machine Learning and Big Data Analytics have become a game-changer in the financial analytics domain. The Certification Program in Financial Analytics Course is a sui generis attempt to blend machine learning solutions for traditional finance problems. Specifically designed to suit the financial service industry (FSI) professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to financial industry data. Employing Machine Learning solutions has transformed many back-office operations in financial firms from cost to profit centers and empowering ‘self-driving’ finance. According to this Bloomberg article, through Natural Language Processing techniques JPMC software reviewed legal documents in seconds what lawyers took 360,000 hours to do! This is one of the many incredible examples of Machine Learning and Artificial Intelligence in the Finance Industry. This financial analytics course is meant for professionals from the finance domain as it provides a comprehensive picture of how data science and artificial intelligence can be leveraged to increase the speed and accuracy of financial transactions. Understanding the applications of Data Science, Machine Learning to FSI will be the prime objective of this content-rich program. Having a deep appreciation for Financial Analytics is imperative for the success of various Banks, Insurance Firms and Financial Institutions at large.

Financial Services Insurance Overview
Understand various Financial Analytics Pricing Models
Get acquainted with Financial Securities Analytics
Financial Risk Analytics using Time Series Forecasting
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for business decisions
Applications of Data Optimization in Financial Services Industry
Use data visualisation concepts to represent data for easy understanding

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financial analytics course - 360digitmg

16 hours

Live Sessions

financial analytics course - 360digitmg

20 hours

Python Programming Videos

Who Should Sign Up?

  • Financial Analysts
  • CFO/Director/Head of Finance
  • Business Analysts
  • Data Analysts
  • Risk Managers
  • Certified Financial Analysts
  • Credit Analysts
  • Financial Advisors
  • Math, Science and Commerce Graduates

Modules of Financial Analytics Certification Course

The introductory module of this course contains a description of basic terminologies in BFSI. The core applications of Data Analytics in Stock Market Investments, Banking, Financial Advisory, and Electronic Payment Services are discussed. The various applications of Artificial Intelligence in Finance namely Algorithmic Stock Trading, Automated Robo Advisors, Fraud Detection, and Prevention are also explored. For the uninitiated, to operations research, this course comes with a module on the fundamentals of Data Optimization and Data Simulation. Students will solve Linear Programming problems using Simplex techniques, duality and sensitivity analysis.

No course in financial analytics is complete without a discourse on key topics of financial management and this course is no exception. Understand the theory behind investments,risk-return tradeoff, decision making under uncertainty, indifference curves, and quadratic utility functions. Topics like Capital Allocation Line, Optimal Portfolio, Optimal Allocation, analysis using indifference curves find mention here. A separate module is devoted to key concepts in portfolio math and investment in portfolios. The features of the Capital Asset Pricing Model and Monte Carlo Pricing model are discussed. Students learn to apply the Black- Scholes formula. The concluding modules deal with the application of Black-Box Techniques, Neural Networks, and Deep Learning in scanning financial documents. Participants will also develop an AI-driven chatbot.

Learn about Financial Data Analytics with respect to Data Science in FSI, Machine Learning in FSI, AI in FSI, etc. Key areas in finance where AI is applicable would be discussed, namely about, Algorithmic Stock Trading, Automated Robo-Advisors, Fraud Detection and Prevention.

Learn about the preliminaries of Data Optimization & Data Simulation which serves as a good reference for people to understand the core Financial Analytics concepts. Learn on solving Linear Programming problems using Simplex techniques.

Understand about investments, how to trade consumption across time, trade-off between risk and return, decision making under uncertainty, indifference curves, quadratic utility function, etc.

Understand about Capital Allocation Line (CAL) and Optimal Portfolio. Learn about Lending and Borrowing on the CAL, highest utility allocation, feasible set of investment opportunities, optimal allocation, analysis using indifference curves, etc.

Understand about portfolio math, diversification in action by taking the example of two risky assets, mean-standard deviation diagram, mean-variance frontier, efficient frontier, two funds separation, constraints on investment, diversification in well-diversified portfolios, tangency, MVE, etc.

Features of Markowitz analysis, expected returns from historical averages, efficient frontier, resampling based on simulation, estimation error, means and covariances, asset pricing models, market portfolio, pricing model, security market line, equilibrium, disequilibrium, full equilibrium, BU & TU price determination, Beta value etc.

  • Detect Credit Card Fraud using Decision Tree Algorithm.
  • Time Series Forecasting using SARIMAX.
  • Time series Forecasting using Facebook’s Prophet Library.
  • Predict financial crisis of countries in the continent using Multi-layered Perceptron.
  • Replicating the index using Autoencoders to streamline passive investment strategies in the market.
  • Building Robotic Trading algorithms using Reinforcement Learning.

Learn about various regulatory bodies such as Basel III, SEC, SROs, GLBAct, etc. Also learn about the GDPR Act, safeguarding PII and many more regulatory norms laid down for various countries. Understand about Connected Banks, Fly-in Financial Markets, Financial Asset Exchange, Open Banking and Data Sharing.

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financial analytics course certification - 360digitmg

Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Finance Certificate is your passport to an accelerated career path.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

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Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

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Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

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Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

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Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

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Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

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Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology

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FAQs for Financial Analytics Training

This financial analytics course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in financial data, SQL and Programming languages such as Python and R. Knowledge of financial industry is expected for better understanding.

Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

With growing demand, there is a scarcity of data science professionals in the market. If you can demonstrate strong knowledge of data science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.

360DigiTMG provides internship opportunities through Innodatatics, our USA- based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.

This course is specifically catered to learners intending to either begin or advance their careers in the finance industry.

You will be exposed to highly relevant financial data like stock prices, claims, general ledger transactions etc.

There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.

We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.

After you have completed the online sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

You will be attending 16 hours of virtual instructor-led sessions. After completion, you will have access to the Learning Management System for three months for recorded videos and assignments. Also you will have to spend another month after the online sessions to complete the live project.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship sessions, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No, the cost of the certificate is included in the programme package.

Jobs in the field of Financial Analytics

Jobs in the field of Financial Analytics

India will need 42,000 more Financial Analytics professionals by 2022. The Financial Analytics workforce enrolled 8991 freshers in 2020. The average work experience of Financial Analysts in India is 7.2 years.

Salaries for Financial Analytics

Salaries for Financial Analytics Professionals

The average salary of Financial Analytics professionals is Rs.10-15 lakhs per annum in India The average entry-level salary for financial Analytics professionals in India is less than Rs.6 lakhs.

Financial Analytics Course Projects

Financial Analytics Course Projects

The bulk of the financial analytics boom has been sponsored by fintech companies. There can be various projects in the domain of customer satisfaction, risk management, and operations analytics that one can work on in the field of Financial Analytics.

Role of Open Source Tools in Financial Analytics Course

Role of Open Source Tools in Financial Analytics

Several open-source software tools are available for Financial Analytics. They are Birt, Apache Zeppelin, Knowage, MapD, Jaspersoft Community, Knime, Metabase, Matamo, Seal Report. These are well suited to Data Analytics, Machine Learning, and Visualization.

Modes of Training for Financial Analytics Course

Modes of Training for Financial Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both online and online learning. We also support e-learning as part of our curriculum.

Industry Application of Financial Analytics Course

Industry Application of Financial Analytics Course

Banks and Financial Institutions are setting up Dedicated Analytics Units and Centres Of Excellence. Banks and FI's in India have capitalized on Artificial Intelligence solutions and Machine Learning Technology to drive new revenue streams and achieve key business objectives.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

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