Location
Chandigarh, Chandigarh
Work Mode
In Office
Duration
3 months
Stipend
₹28,000/mo
Start Date
Immediate / Rolling
Openings
4 positions
Type
Full-time
Category
Data Science
About the Internship
Nippon India Mutual Fund is hiring a Quantitative Analyst Intern in Chandigarh — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to quantitative analysis and modelling rather than a certificate-only programme.
About the role
As a Quantitative Analyst…
About Nippon India Mutual Fund
Nippon India Mutual Fund offers a mentor-led Quantitative Analyst Intern in Chandigarh with live project work in data science, a stipend of ₹28,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Nippon India Mutual Fundinternships →Chandigarh, ChandigarhVerified employer4 openings
Apply to Nippon India Mutual Fund →Skills Required
PythonQuantitative ModellingStatistics & ProbabilityTime-Series AnalysisBacktestingNumPy & PandasRisk MetricsFinancial Markets BasicsSQLModel Documentation
Who Can Apply
- Final-year students and recent graduates from B.E./B.Tech, M.Sc (Mathematics / Statistics / Financial Engineering), MBA (Finance) or CFA-track who are based in or willing to work from Chandigarh. You should be keen to learn Python, Quantitative Modelling, Statistics & Probability on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.
Perks
Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate
Interview & Selection Process
3 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Discussion with the hiring manager on the role and your fit
- 3HR discussion — stipend, start date, expectations and offer
₹28,000/month
Stipend · 3 months
Openings4 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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