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Innoviti logo — Innoviti Credit & Risk Analytics Intern in Noida, Uttar Pradesh
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Credit & Risk Analytics Intern

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Location

Noida, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

5 positions

Type

Full-time

Category

Data Analyst

Apply Now — ₹22,000/moApply on Company Website ↗

About the Internship

Join Innoviti in Noida as a Credit & Risk Analytics Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on credit risk and portfolio analytics work. About the role As a Credit & Risk Analytics Intern at…

About Innoviti

Innoviti offers a mentor-led Credit & Risk Analytics Intern in Noida with live project work in data analyst, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Noida, Uttar PradeshVerified employer5 openings
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Skills Required

SQLExcelCredit Risk MetricsPortfolio & Delinquency AnalysisPython (Pandas)Statistical AnalysisFraud Pattern DetectionRegulatory Reporting BasicsPower BIData Interpretation

Who Can Apply

  • Final-year students and recent graduates from B.Com/M.Com, BBA/MBA (Finance), B.Sc/M.Sc (Statistics / Economics) or B.E./B.Tech who are based in or willing to work from Noida. You should be keen to learn SQL, Excel, Credit Risk Metrics 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 mentorBroad ownership and direct exposure to founders and senior decision-makers

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
22,000/month

Stipend · 3 months

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Openings5 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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