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IDBI Bank logo — IDBI Bank Quantitative Analyst Intern in Noida, Uttar Pradesh
IDBI Bank VerifiedActively Hiring

Quantitative Analyst Intern

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Location

Noida, Uttar Pradesh

Work Mode

Work from Home

Duration

3 months

Stipend

₹30,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹30,000/moApply on Company Website ↗

About the Internship

Start your career in quantitative analysis with IDBI Bank as a Quantitative Analyst Intern in Noida. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Quantitative Analyst Intern at IDBI Bank, your core focus…

About IDBI Bank

IDBI Bank offers a mentor-led Quantitative Analyst Intern in Noida with live project work in data analyst, a stipend of ₹30,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer6 openings
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Skills Required

PythonStatisticsFinancial ModellingTime Series AnalysisNumPy & PandasProbabilityExcelSQLBacktestingRisk Metrics

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (any branch), BCA/MCA, B.Sc (Statistics/Mathematics), B.Com/BBA or MBA who are based in or willing to work from Noida. You should be keen to learn Python, Statistics, Financial Modelling 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

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationDirect access to the team that owns the data you work on

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
30,000/month

Stipend · 3 months

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Openings6 positions
Applicants0 applied
ModeWork from Home
CategoryData Analyst
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