Location
Indore, Madhya Pradesh
Work Mode
Hybrid
Duration
3 months
Stipend
₹18,000/mo
Start Date
Immediate / Rolling
Openings
6 positions
Type
Full-time
Category
Data Science
About the Internship
Join Ameriprise Financial in Indore as a Quantitative Analyst Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on quantitative analysis and modelling work.
About the role
As a Quantitative Analyst…
About Ameriprise Financial
Ameriprise Financial offers a mentor-led Quantitative Analyst Intern in Indore with live project work in data science, a stipend of ₹18,000/month and a Pre-Placement Offer opportunity for strong performers.
See all Ameriprise Financialinternships →Indore, Madhya PradeshVerified employer6 openings
Apply to Ameriprise Financial →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 Indore. 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
Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor
Interview & Selection Process
4 rounds — typical selection flow for this role:
- 1Application screening & resume shortlisting by the talent team
- 2Practical assignment or case study with a short walkthrough
- 3Discussion with the hiring manager on the role and your fit
- 4HR discussion — stipend, start date, expectations and offer
₹18,000/month
Stipend · 3 months
Openings6 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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