Professional Certificate in
Financial Analytics Course
- Get Trained by Trainers from ISB, IIT & IIM
- 40 Hours of Intensive Classroom & Online Sessions
- 60+ Hours of Practical Assignments
- Receive Certificate from Technology Leader - IBM
- 2 Capstone Live Projects
- 100% Job Placement Assistance
"The global financial analytics market is expected to grow to USD 11.4 billion and the Financial Analytics market size for the South East Asian Region is $2.4 billion." - (Source). Banking and Financial sectors are moving rapidly towards digitization to intensify their customer experience and to gain a competitive edge. Malaysia is one of the fast-moving countries which is keen on adopting the latest innovations to boost its economy. As per the report published by Ernst & Young, up to 67% of Malaysian banks are going to witness digital maturity by the end of 2020. To be relevant in this competitive world, banks have to transform their operations from manual to digital at front and back end IT operations. This helps the banks to strengthen their customer base and smooth operation of the business. There is a prominent demand for Financial Analytics professionals to deploy the operations primarily in the Banking and Financial Sectors.
- Computer Skills
- Basic Mathematical Concepts
- Finance Basics
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 the 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 Certificate Learning Outcomes
360DigiTMG in Malaysia offers the best training in Financial Analytics. This course will help individuals to boost their career in the Financial sector. The course is trained by highly experienced professionals and assistance is given by a dedicated team of mentors. This course is designed perfectly to meet the requirements of students and working professionals. This is one of the best courses for those who want to reach heights in their career and grab lucrative opportunities. This course will enhance the required skills as per the market trends. A lot of emphases is given on important topics such as Financial Risk Analytics using Time series forecasting, various kinds of Analytics, Applications of Data Optimization, and many more. The concepts are dealt with real-time use cases so that the students can understand the exact work environment.
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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
Financial Analytics Course Modules
Financial Analytics course in Malaysia is delivered by 360DigiTMG, the best training institute in Malaysia. The modules of the course are finely designed to meet industry trends. This course helps students to achieve their goals and accomplish their dreams. Financial Analytics course modules cover all the important concepts which are beneficial for the students to be the much-needed workforce. In these modules, students will understand the various sectors and domains within the FSI industry. Understand terminologies, Data Analytics, and its applications in Banking, Finance, and other sectors. Learn Financial Analytics related to Data Science, Machine Learning, and Artificial Intelligence. Learn in-depth various concepts such as Capital Allocation Line and Optimal Portfolio. Students will learn the preliminaries of Data Optimization and Data Simulation. Hands-on experience with real projects will guide students to acquire knowledge on concepts like Monte Carlo method of pricing, European call options, Connected Banks, Fly-in Financial Markets, Open banking, and Data Sharing. The other modules of the course will emphasize topics such as mean standard deviation, mean-variance, frontier, etc. Students will also learn about Rasa NLU. This course will ensure that students will be updated with the latest developments and innovations in the field of Financial Analytics.
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, a 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 an 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 the 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 GDPR Act, safeguarding PII and many more regulatory norms laid down for various countries. Understand about difference between data security and data privacy. Understand about Connected Banks, Fly-in Financial Markets, Financial Asset Exchange, Open Banking and Data Sharing.
Financial Analytics Course Trends in Malaysia
Digitalization and automation are giving many flexible options in the Banking and Financial sectors in Malaysia. 67% of banks are thriving to transform digitally by 2020. Several banking services have moved to online mode in few years, and this step has impacted a lot in every aspect of Banking and Financial Services in the country of Malaysia from the development of products to departments of compliance and contact centers. Virtual banking is going to become a reality very soon. E-wallets are in the developing stage. For semi-cashless systems, WeChat Pay MY with the support of the government initiated many programs. Banks are very much open to create internal tech teams that include Analytics, User interface, and experts to digitalize internal processes and services. Cloud-based financial services are booming and are great in demand.
It provides many benefits such as scalability, speed of deployment, available at 24/7, less maintenance, and low installation costs. Many Financial Analytics providers are merging with big cloud service providers such as AWS, IBM, and Google for enhancing their customer base and improving their potentials. The adoption of Artificial Intelligence in the Financial sector can significantly result in building trust, resilience, and accuracy. Various verticals are depending on Artificial Intelligence and Machine Learning operations to strengthen their compliance frameworks, enhance their investment decision-making processes, and quick fraud detection skills. The advanced analysis produced by Artificial Intelligence and Machine Learning solutions would increase portfolio management processes and drive profits.
How We Prepare You
Additional Assignments of over 60+ hours
Live Free Webinars
Resume and LinkedIn Review Sessions
Lifetime LMS Access
Job Placements in Financial Analytics Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Life Time Free Access to Industry Webinars
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Financial Analyst Training 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 Science, 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 Science, 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 from 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 Financial Analytics Certificate is your passport to an accelerated career path.
FAQs for Financial Analysis Certificate Program
This course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in financial data analysis, 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 practice.
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.
Jobs in the Field of Financial Analytics
The job roles for Financial Analytics are Financial Analyst, Credit risk Analytics Manager, Senior Financial Analyst and henceforth.
Salaries for Financial Analytics Professionals
The average salary for a Financial Analyst at entry-level will be RM 35,823, for mid-level it is RM 61,440, and for experienced it will be RM 82,441 approximately in Malaysia.
Financial Analytics Course Projects
Many innovative projects are being carried in the Financial and Banking sectors. Blockchain technology is being developed to boost the operational efficiency in Banks for better customer service.
Role of Open Source Tools in Financial Analytics
Students are required to have adequate knowledge of the important tools that include Python, R, R Studio, and Jupyter.
Modes of Training for Financial Analytics Course
360DigiTMG offers classroom sessions and online sessions with flexible timings suited for working professionals. Individual attention is guaranteed.
Industry Application of Financial Analytics Course
Financial Analytics plays a crucial role in the sectors including Banks, Telecom, Energy and Utilities, Manufacturing, Automotive, Health care, Retail, E-commerce, Media, Transportation, Transportation, and many more.