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Faircent logo — Faircent Quantitative Analyst Intern in Pune, Maharashtra
Faircent VerifiedActively Hiring

Quantitative Analyst Intern

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Location

Pune, Maharashtra

Work Mode

Hybrid

Duration

2 months

Stipend

₹27,000/mo

Start Date

Immediate / Rolling

Openings

15 positions

Type

Full-time

Category

Data Science

Apply Now — ₹27,000/moApply on Company Website ↗

About the Internship

Faircent is hiring a Quantitative Analyst Intern in Pune — 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 Intern at Faircent…

About Faircent

Faircent offers a mentor-led Quantitative Analyst Intern in Pune with live project work in data science, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
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Pune, MaharashtraVerified employer15 openings
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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 Pune. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
27,000/month

Stipend · 2 months

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Openings15 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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