The Young Investors Programme
Real Money, Real Markets, Real Returns
This programme is designed to teach you finance, develop your skills in valuation and help you grow into an investment professional. There are three parts to our programme
- Financial Modelling & Valuation
- AI & Technology for Finance
- Investment Analyst
Who is this course for?
The Young Investors Programme is ideal for learners pursuing BBA, MBA, or a Bachelor’s in Commerce, as well as recent graduates and early-career professionals eager to develop finance skills and grow into investment professionals. This programme provides practical knowledge and hands-on experience in financial modeling, AI and technology for finance, and investment analysis. What makes this programme unique is the opportunity to invest real money in real markets in real time. You’ll first learn the necessary skills, then identify investment opportunities, and finally invest to see the results of your work. This real-world experience is gained without bearing any financial risk. Perfect for those aiming to pursue roles such as Financial Analyst, Investment Analyst, Credit Analyst, Real Estate Analyst, or Research Analyst, the course prepares you for a successful career in finance.
Start On 15-April-2025
(9:00 AM - 01:00PM)
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Young Investors Programme
- Real Money, Real Markets, Real Returns
- Industry Led Live Sessions
- Comprehensive Curriculum
- Cutting Edge Technology
- Experiential Learning
- Career Ready Skills
Key Takeaways
Why Students Choose the Young Investors Programme
Experiential Learning
Make live investment pitches, invest real money in real markets for real returns.
Learn By Doing
Master financial modelling and valuation with real data.
Live Sessions
Enhance your learning with industry-led live sessions.
Tech Enabled
Develop essential technology skills for the AI world.
Transform Your Career with Our Comprehensive Program
Unlock Prestigious Job Profiles
A Financial Analyst assesses an organization's financial performance through analysis of data such as market trends, economic conditions, and financial statements. They focus on budgeting, financial planning, and forecasting future revenues and expenses. Proficiency in Excel, SQL, Python, and Power BI is essential. Experience in financial modeling, valuation, and hands-on data analysis is crucial. They also play a key role in identifying cost-saving opportunities and enhancing overall financial efficiency. Collaboration with different departments to align financial goals and strategies is a significant aspect of their job.
An Investment Analyst conducts in-depth research on financial instruments like stocks and bonds to provide investment advice. They evaluate economic trends and market conditions to identify investment opportunities. Key skills include Excel, SQL, Python, and Power BI. Expertise in financial modelling and valuation, as well as practical experience in investment analysis, is required. They prepare detailed investment reports and presentations to communicate their findings to stakeholders. Monitoring and adjusting investment strategies based on market developments is also a crucial part of their role.
A Credit Analyst determines the creditworthiness of individuals or companies by analyzing financial statements, credit reports, and economic data. Their role is to assess the risk associated with lending or extending credit. Essential skills include knowledge of Excel, SQL, Python, and Power BI. Hands-on experience in credit assessment, financial modelling, and valuation techniques is necessary. They also provide recommendations on credit limits and interest rates to minimize risk. Regularly reviewing and updating credit policies to reflect changing market conditions is an important responsibility.
A Real Estate Analyst evaluates real estate investments by analyzing market trends, property values, and economic factors. They conduct feasibility studies and risk assessments to guide investment decisions. Proficiency in real estate analysis software, Excel, SQL, Python, and Power BI is crucial. Experience in financial modelling and property valuation is vital. They are responsible for creating comprehensive reports that outline potential returns and risks associated with real estate projects. Additionally, they work closely with property managers and developers to ensure successful project execution.
A Research Analyst collects and interprets data on various markets, industries, and economic conditions to produce reports and forecasts. Their insights support strategic planning and decision-making. Familiarity with research tools, Excel, SQL, Python, and Power BI is essential. Competence in financial modelling, valuation techniques, and hands-on research experience is critical. They also develop and maintain databases to organize research data efficiently. Providing actionable insights and recommendations based on thorough analysis is a key part of their role.
This role involves creating detailed financial models to forecast a company's performance and value. These models support mergers, acquisitions, and strategic planning. Mastery of Excel, SQL, Python, and Power BI is crucial. Extensive experience in financial modelling, valuation methods, and practical application of these skills is indispensable. They also perform sensitivity analysis to understand the impact of various assumptions on financial projections. Communicating complex financial information to non-financial stakeholders in an understandable way is an important aspect of their job.
Artificial Intelligence (AI) in finance is revolutionizing the industry by enhancing efficiency, accuracy, and decision-making. Professionals in this field leverage AI technologies to automate processes, detect fraud, manage risk, and optimize investment strategies. AI in finance jobs involves developing algorithms for trading, personalizing customer experiences, and providing insights through big data analysis. Key skills include programming, data analysis, and financial acumen. This role requires staying abreast of technological advancements and regulatory changes, making it ideal for innovative individuals passionate about finance and technology.
Who are these courses for?
The Young Investors Programme is designed for learners pursuing BBA, MBA, or a Bachelor's in Commerce, as well as recent graduates and early-career professionals keen to develop finance skills and grow into investment professionals. It provides practical knowledge and hands-on experience in financial modeling, AI and technology for finance, and investment analysis. Participants invest real money in real markets without financial risk, making it ideal for those aspiring to roles such as Financial Analyst, Investment Analyst, Credit Analyst, Real Estate Analyst, or Research Analyst. This course prepares individuals for successful careers in finance by offering real-world experience and essential skills.
B.Com & M.Com, B.A.& M.A Economics, Accounting
Students pursuing B.Com and M.Com will benefit significantly from the Young Investors Programme by gaining hands-on experience with real investing from a genuine fund. By managing real investments, students will develop a deep understanding of market dynamics and investment strategies, enhancing their resumes and preparing them for high-level roles such as Financial Analyst or Investment Analyst.
BBA, PGDM & MBA Finance
BBA and MBA students will benefit from hands-on exposure. This programme gives them experience in investing. By managing actual investments, students gain valuable insights into market dynamics and investment strategies, preparing them for leadership roles such as Financial Analyst, Investment Analyst, or Credit Analyst.
MBA Finance
Impress recruiters with real investing experience from an actual fund, a unique feature of the Young Investors Programme. This programme is designed to enhance your strategic and analytical skills in finance, focusing on practical application. Learn how to build financial models, utilize AI technology, and conduct investment analysis with real-world relevance. The opportunity to manage real investments without financial risk provides a hands-on learning experience that prepares you for leadership roles in finance, such as Financial Analyst or Credit Analyst. Equip yourself with the skills and confidence needed to excel in the industry, backed by genuine experience.
CA, CFA and Actuary
This programme is designed to complement your expertise as a CA, CFA and Actuary by offering hands-on training in financial modeling, AI for finance, and investment analysis. Prepare for roles such as Financial Analyst, Portfolio Manager and Investment Consultant with real-world experience that showcases your ability to apply accounting principles in the finance industry.nt.
Pricing
- Live sessions
- Real world datasets
- Weekly mentoring
- Recorded videos
- Networking events
- Resume review
- Weekly mentoring
Course Curriculum ?
This module is designed to teach you valuation techniques for manufacturing, services, real estate and mining etc. You will learn how to develop models during the live sessions. We will build these valuation models from scratch so that you understand each model and how to evaluate them. We will look at live data taken from companies so that you feel confident about your learning. Here is the course syllabus.
- 3 Statement Model
- Precedent Comparable
- Trading Comparable
- Discounted Cashflow Model
- Start-up valuation
- Dividend Discount Model
- Abnormal Earnings Model
- Real-Estate Valuation
In this module you will learn some of the important tech tools that are used in Finance. We teach from first principles, so you don’t need to have an “engineering” background to do this. These technology tools will enable you to develop models quickly and effectively. We have added Gen A.I. tools because many banks and financial institutions are asking for employees to be digitally capable in addition to knowing the nuances of finance.
- Excel
- Power Point
- Power BI
- SQL
- Python
- Chat GPT
After having learned about Finance and the various tools, it is time to test your understanding. You will select a sector, identify companies that would be interesting to evaluate from an investment perspective. Develop financial model and pitch your ideas to our panel of investors. This is where the real of test of learning comes into play. Can you defend your idea and convince people that it works. Throughout this journey we will help you, but we would like you to take the lead.
Note – we have a fund, and we invest money from that fund based on you successfully convincing our panel of experts about your idea. We don’t seek any additional funds from you for investing in the market. As a result, you don’t carry any downside risk which might get created due to market conditions. The risk is ours. We trained you!
- Identify a sector
- Select companies
- Develop Models
- Create an Investment Thesis
- Pitch to investors
- Make an investment
- Generate REAL Returns
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Frequently Asked Questions
It is estimated that the teaching part which is financial modelling and technology for Finance will take about 3 months. After that you will work for another 3 months as an investment analyst to gain hands-on experience.
On completing each module, we give you a certificate. Upon finishing the programme, you will receive a certificate which can be shared with recruiters as proof of your investing experience.
It will be over a zoom call. Notes and post class recordings will be provided. We typically have classes in the evening from 9 pm onwards for 1 hour on alternate days. On weekends we do 2 hours on Saturday and Sunday each.
Sure, you can do that, but we would encourage you to discuss with your mentor at EdLightened so that you are aligned to the job that you are seeking.
We have former students of EdLightened and they will be happy to help you. Your success matters to us!
“Investment Analyst at the EdLightened Fund” This will open doors with recruiters who will see that you have Finance Knowledge and relevant Experience for the job. Let us together make this happen!
Our alumni include students from IIMs and institutions abroad. You can read the testimonials and check the Linkedin profiles.
We advertise our start dates on Linkedin and our website so you can decide what suits you best. We have limited seats because of the demand and our endeavour to maintain quality.
Click on the join now button and follow the instructions on the screen