In today’s Podcast, we’re excited to bring you the inspiring journey of Rishab, a determined finance graduate who turned his internship experience into a full-time consulting role at a growing fintech firm. This blog is based on a podcast conversation where Rishab, a former participant of our Management Consulting Program, opens up about his academic path, real-world project experience, and how Jobaaj Learnings & ProCapitas helped him bridge the gap between education and employment. From learning financial modeling to landing a strategic role at Cred Fintech, Rishab’s story is one every aspiring finance professional should hear.
Podcaster:
Hii Rishab, thank you so much for joining this call. I just wanted to connect with you to know a few things about yourself — your journey with Jobaaj Learnings, your experience, and everything since you joined from ProCapitas as an intern. So, if you could start by sharing your background — your education and where you’re from, that would be great. Then we’ll move ahead with the review and the startup course experience.
Rishab:
Okay, so first of all, my name is Rishab. I completed my graduation in 2024 with a Bachelor's degree in Financial Markets from Tolani College of Commerce, where I secured a 9.48 CGPA. After that, I did two internships. The first one was at ADU as a Mutual Fund Research Intern for three months. Then, I joined ProCapitas as an Equity Research Intern, where I explored financial modeling, technical analysis, and equity research.
These internships really helped me build a strong foundation, and now I’ve got this opportunity to work in a Founder’s Office role, where I’m involved in fundraising, modeling, and more strategic responsibilities.
Podcaster:
Sounds good! So, Rishab, how did you first come to know about us?
Rishab:
I was browsing LinkedIn looking for equity research positions. That’s when I found a post about this internship program. It mentioned live projects and real-time learning. I applied through a Google Form and that’s how I came to know about ProCapitas and Jobaaj Learnings.
Podcaster:
Nice. So, how was your overall learning experience during the internship?
Rishab:
It was honestly great. The best part wasn’t just the training, but the live application. We weren’t only learning theoretical concepts, we were actually implementing them. For example, I already had some knowledge of technical analysis and financial modeling, but this internship gave me a platform to apply all of it practically through live projects.
Podcaster:
That’s amazing. Did you get to work on financial models too?
Rishab:
Yes, we worked on DCF modeling and also built scenario-based investment models. For instance, we did projects like "If we had invested in this stock 10 years ago, what would the return look like today?" So, while it wasn’t an extensive corporate financial model, it was a very practical and insightful experience.
Podcaster:
That sounds good. Now coming to the placement part — how would you describe the support you received from our placement team? Compared to other companies that make a lot of promises, how would you rate your experience with us?
Rishab:
I would honestly rate it 10 on 10. Especially Vishakha ma’am — she was very supportive. She called me personally, helped me shortlist jobs, and kept me informed about openings. Over the last two-three months, I was interviewed for 3–4 companies. I even got selected for ASA Associate, but due to some reasons I couldn’t join. Still, she continued supporting me and eventually, I got selected for the current role. There was constant follow-up and real help.
Podcaster:
That’s wonderful. So where are you currently placed?
Rishab:
I’m currently working at Cred Fintech as a Consultant.
Podcaster:
And are you happy with your current role? Do you feel it’s a good fit for your career?
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Don’t miss the full conversation—watch the podcast now and get inspired by Rishab's journey!
General interview questions answered by Rishab during his selection process
What did you do during your internship at ProCapitas?
Answer: At ProCapitas, I worked as an Equity Research Intern. I learned to evaluate stocks using both fundamental and technical analysis. I also built scenario-based investment models and got exposure to DCF modeling. The best part was the live application—we worked on real datasets and built practical insights, not just theory.
What is DCF modeling, and when is it used?
Answer: DCF or Discounted Cash Flow modeling is used to estimate the intrinsic value of a company by projecting its future cash flows and discounting them to the present value using the company’s cost of capital. It’s especially useful when valuing companies with predictable cash flows.
Can you explain a stock research project you did and your takeaway?
Answer: Sure! I worked on a scenario analysis project where I studied the 10-year return on a particular stock if invested in 2013. I analyzed its growth drivers, market trends, and macroeconomic influence. The takeaway was how long-term investing combined with sound fundamentals can outperform short-term speculation.
How do you keep yourself updated with market trends?
Answer: I follow platforms like Bloomberg, Moneycontrol, and LinkedIn pages focused on finance. I also track newsletters and YouTube channels that break down financial news and company updates. This habit helps me stay updated with industry shifts and stock movements.
How would you explain technical analysis to a non-finance person?
Answer: Technical analysis is like reading patterns in stock charts to predict where the price might go next. It’s based on the idea that history tends to repeat itself in markets, so if you recognize a pattern, you might anticipate what’s coming. It’s more about price action and momentum rather than company fundamentals.
Tell us about a challenge you faced during your internship and how you handled it.
Answer: Initially, I struggled to build financial models with limited data. But I took help from my mentors, watched training modules again, and practiced using sample company data. Eventually, I was able to structure a working model by making assumptions and validating them with real-world logic.