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Lumenore logo — Lumenore Quantitative Analyst Intern in Lucknow, Uttar Pradesh
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Quantitative Analyst Intern

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Location

Lucknow, Uttar Pradesh

Work Mode

Hybrid

Duration

3 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

9 positions

Type

Full-time

Category

Data Analyst

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About the Internship

Lumenore is hiring a Quantitative Analyst Intern in Lucknow — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to quantitative analysis rather than a certificate-only programme. About the role As a Quantitative Analyst Intern at Lumenore, your core…

About Lumenore

Lumenore offers a mentor-led Quantitative Analyst Intern in Lucknow with live project work in data analyst, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Lucknow, Uttar PradeshVerified employer9 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 Lucknow. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsDirect access to the team that owns the data you work on

Interview & Selection Process

4 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
  3. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 3 months

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Openings9 positions
Applicants0 applied
ModeHybrid
CategoryData Analyst
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