Financial Analytics Course Training
Machine Learning and Data Science can do wonders in Finance according to this Medium article. Finance industry always was using tools and techniques found in the Data Science toolkit even before the term became popular. World Economic Forum and Deloitte Global’s study suggests that Artificial Intelligence is changing the physics of the financial industry by transforming the back-office finance operations from cost to profit centres and empowering ‘self-driving’ finance. This course is specifically designed to enable learners to get the required set of skills to advance their careers in the finance industry.
On-campus training: 40 hours
Financial Analytics Training Programme Overview
The Certification Program in Financial Analytics is a sui generis attempt to blend machine learning solutions for traditional finance problems. Specifically designed to suit the financial service industry (FSI) professionals, it may also add value to data professionals. 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 Finance Industry. 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 Analytics Certification Learning Outcome
Financial Analytics Course Modules
Understand about the various sectors and domains with FSI industry. Basic terminologies of Finance Management course to ensure everyone comes up to speed. World overview of challenges faced by companies in FSI. Understand about Data Analytics applications in Stock Market Investments, Banking, Financial Advisory and Management, Electronic Payment Services, etc.
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, Duality and Sensitivity Analysis.
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.
Understand about various European Call Options and application of Monte Carlo method of pricing the option to demonstrate the equivalence with the Black-Scholes formula. Learn about Monte Carlo method, which will enable us to price options that are not the plain vanilla European calls or puts.
Learn on Predictive modelling for Stock Market Movement, Detecting Financial Statements Fraud, Personal Loan default prediction model, Credit Score prediction model, Credit Card fraud detection model, etc. Understand about the importance of interpretation in FSI industry and emphasis of regulatory bodies on the same.
Learn on how to automatically scan the document and find sections of first name, last name, etc., and then place it in a structured database, thereby reducing the human intervention. Learn on how to rest the bank password automatically using AI driven chatbot – Rasa NLU.
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.
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 2023.
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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
Register for a free orientation
Financial Analyst Program Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 14+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (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 visualisation
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 14+ 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, R, RStudio, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
- Over 20+ years of industry experience in data science and business intelligence
- Trained professionals from Fortune 500 companies and students at prestigious colleges
- Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
- Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
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.
FAQs for Financial Analysis Certification Program
This 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.
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.
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.
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 classroom 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 40 hours of classroom and/or 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 classroom 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.
Sharvin Rao8 months ago
Very good exposure. Satisfied with this program. Teaching materials are complete and does not require any programming background to learn this course
Priya Gopal9 months ago
Very experienced trainer and have patience to deal with every query raised in the classroom.
Lavaniya Rajesveran9 months ago
Great place to learn about Data Science . Trainers are knowlegable and shared lots of new terms which was easily understandable.