Professional Certificate in Financial Analytics Course
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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.
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.
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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.
Tools Covered
Trends in Financial Analytics Course
Top financial institutions look for new-age skills in their analysts like Data Analytics, Marketing Analytics, Predictive Modelling, and Business Intelligence. The use of predictive modeling for stock market movement, detecting financial statement fraud, personal loan default prediction, credit score prediction, credit card fraud detection are a few areas where financial analytics are elaborately used. Currently, 70,000 professionals are employed in the Financial Analytics sector in India. Ernst and young alone have an 800 member analytics practice with budding data scientists on board.
The demand for Financial Analytics Course professionals is fuelled by top companies and by startups from Tier1 and Tier2 cities. Mumbai is the financial hub with 33% of Analytics professionals working in the sprawling metropolis. Bangalore boasts the second-highest concentration of Analytics professionals - around 24%. The growth in the BFSI sector is due to the implementation of emerging technologies with Advanced Analytics, Machine Learning, and Robotic Process Automation becoming the key pillars of growth. The BFSI sector is investing big time in Data Analytics to improve organizational success, enhance return, transform business operations, cut risks, and offer flawless service.
How we prepare you
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Get Quiz Questions and Use Cases
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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Job Placements in Financial Analytics Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in Live Projects
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Offline Hiring Events
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+60 19-383 1378Financial Analytics Course Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 18+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 18+ years across several industry domains
- Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
- Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Bhargavi Kandukuri
- Areas of expertise: Business analytics, Quality management, Data
visualisation with Tableau, COBOL, CICS, DB2 and JCL - Electronics and communications engineer with over 19+ years of industry experience
- Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
- Trained over 750+ professionals across the globe in three years
- Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
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.
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Alumni Speak
"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
"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
"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
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"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
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"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.”
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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
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 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
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
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
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
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.
Student Voices
Sharvin Rao
2 years agoVery good exposure. Satisfied with this program. Teaching materials are complete and does not require any programming background to learn this course
Priya Gopal
2 years agoVery experienced trainer and have patience to deal with every query raised in the classroom.
Lavaniya Rajesveran
2 years agoGreat place to learn about Data Science . Trainers are knowlegable and shared lots of new terms which was easily understandable.
Nivethitha Sivaraj
2 years agoThe course I selected was Data science using Python and R. Beginning it feels quite easy but days pass by we can feel the depth of the subject. Trainers doing their awesome job. I would seriously recommend for the people who are looking for a career uplift and even for freshers. Apart from trainers it’s our job to practice and practice to make it more perfect.
Gaurav Joshi
3 years agoData Science is aptly designed to cover most of the aspects of Data Science using R and Python. Anyone who is unsure of how to step in and explore the world of Data Science should join this course. Kudos to 360DigiTMG team to come up with such an elaborated program and helping students to put a confident foot forward in Data Science space.
Anita Nook Naidu
3 years agoVery good lecturers. Good training. Plenty of guidance provided. worth the money.
