MIHAN, Nagpur has an open Junior Quantitative Developer internship. It's on-site, pays 22,500 rupees a month, and sits in the Software Development category.
What You'll Be Doing
You won't be handed busywork here. This internship puts you inside real development work from the start.
- Designing and building software components alongside the rest of the team
- Working closely with product and QA folks as features move through their cycle
- Reviewing code, both giving and getting feedback, to keep quality consistent
- Troubleshooting issues that users actually report, not hypothetical ones from a textbook
A lot of this will happen inside quantitative models, so expect the troubleshooting to sometimes look like a backtest returning numbers that are technically valid but obviously wrong, say a strategy that shows a suspiciously perfect win rate because of a lookahead bug buried three functions deep. Finding that kind of thing teaches you more about the codebase than a week of documentation would.
The work isn't purely solitary either. You'll sit in on standups, hear how senior developers talk through a bug before they even open the code, and pick up habits around naming, testing, and version control just by watching how the team already does things. Some days you'll be writing new functions from scratch, and other days you'll be reading someone else's model to figure out why it behaves strangely under certain market conditions.
Skills You'll Need
You should be comfortable writing Python or C++, and you'll want a working grasp of statistics and algorithms going in.
- Python or C++ programming
- Statistics fundamentals
- Financial modeling basics
- Algorithm design and problem-solving
Good to Have
None of this is required to apply, but it'll help: some exposure to pandas or NumPy, a bit of experience with version control like Git, and any coursework or personal projects touching options pricing or time-series analysis. If you've ever built a toy trading strategy just to see if it would have worked, that counts for more than you'd think.
Familiarity with Jupyter notebooks for quick experimentation, or having worked through a Kaggle competition even without placing well, also gives the team something concrete to talk about in the interview. What matters more than any specific tool is being able to explain your reasoning when a piece of analysis produces a surprising result.
Who We're Looking For
On the education side, the team expects a four-year degree, whether in computer science, IT, or something close enough in substance. Prior work experience isn't required. It's built for someone early in their career, whether that's a recent graduate or someone finishing up their final year and looking for practical hours before they walk into full-time interviews.
What tends to separate strong candidates from the rest at this stage isn't years on a resume, since nobody applying has many yet. It's whether they can walk through code they've written and explain why they made the choices they did, rather than describing what it does line by line.
What's in It for You
The stipend is 22,500 rupees a month, and it comes with real substance, too.
- A monthly stipend
- Mentorship from senior developers on the team
- A certificate of completion at the end of the internship
- Relocation assistance for interns moving to Nagpur
- Accommodation support while you get settled
Strong performers have a real shot at a full-time offer once the internship wraps up. That's not a guarantee dressed up to sound better than it is, but the team here has a track record of converting interns who show up consistently and take feedback well. Even for interns who don't convert, the certificate and mentorship tend to carry real weight when they apply elsewhere afterward.
Life at MIHAN
MIHAN has grown into one of Nagpur's more active zones for IT and aviation-adjacent business, and the office here sits close enough to the airport that a few colleagues fly in for client meetings on the same day they leave. Naukri Mitra tends to see a steady stream of interest in quantitative developer roles in this part of the city, partly because there aren't many quant-focused internships in Nagpur specifically, and this one pays noticeably better than the city average for quantitative developer jobs. For anyone relocating from outside Maharashtra, the accommodation support genuinely takes the edge off that first month of figuring out where to live. Most interns end up in shared housing within a short commute of the office, and a few of the current team members were interns themselves not too long ago.
How the Team Works
You'll be paired with a mentor from day one rather than left to sort things out on your own. Expect regular one-on-ones where you can ask the kind of question you might otherwise feel silly asking in a group setting, plus code reviews that go into actual detail instead of a quick thumbs up. The pace picks up around model validation periods, when everyone's checking numbers against each other more carefully, but most weeks settle into something manageable once you've found your footing.
Interns here also sit in on a few of the team's planning discussions, not just the execution work. It's a small thing, but seeing how a feature gets prioritized before you're asked to build it tends to make the actual coding make a lot more sense.
By the halfway mark, most interns are contributing to something that ships, not just shadowing. That shift usually happens gradually rather than on a set schedule, tied more to how comfortable someone is with the codebase than to a fixed number of weeks on the calendar.
How to Apply
If you meet the education requirement and can show some grounding in the skills above, go ahead and apply through the process listed with this posting. Don't worry if you haven't worked with financial modeling professionally yet; plenty of successful applicants come in having only used it in coursework or side projects. We review applications on a rolling basis, so applying early doesn't hurt. If you're still finishing your degree, mention your expected graduation date in your application so the team can plan around your availability.
