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Commvault India logo — Commvault India Quantitative Analyst in Ghaziabad, Uttar Pradesh
Commvault India VerifiedActively Hiring

Quantitative Analyst

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Location

Ghaziabad, Uttar Pradesh

Work Mode

Work from Home

Duration

0 months

Stipend

₹52,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Data Science

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About the Internship

Applications are open for the Quantitative Analyst position at Commvault India in Ghaziabad. You will join a working team in quantitative analysis, take a defined area end to end, and see the result of your work in the hands of real users or customers. About the role This Quantitative Analyst…

About Commvault India

Commvault India is hiring a Quantitative Analyst in Ghaziabad — a full-time full-time position working in Python, SQL and market data systems, with an indicative CTC of 4.2 LPA–8.3 LPA and 4 openings.
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Ghaziabad, Uttar PradeshVerified employer4 openings
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Skills Required

PythonStatisticsSQLFinancial Markets BasicsTime Series AnalysisBacktestingExcelProbabilityModel ValidationReport Writing

Who Can Apply

  • B.E./B.Tech, BCA/MCA, B.Sc/M.Sc (Statistics / Mathematics) or MBA (Analytics) graduates with 0–2 years of relevant experience, based in Ghaziabad or willing to relocate. You should be comfortable with Python, Statistics, SQL, Candidates from any recognised university are welcome, and career-changers with demonstrable skills are read on the same terms as fresh graduates. Freshers and final-year students awaiting results are welcome to apply — the selection process is designed to test how you think, not how much you have already memorised.

Perks

Support for internal mobility across teamsFixed monthly salary, paid on timeStructured onboarding with a named mentor for the first 90 daysHealth insurance cover for you (and family cover on confirmation)Learning and certification budgetPaid leave, casual leave and public holidaysFlexible working hours around core collaboration timeModern hardware and the tool licences your role needs

Interview & Selection Process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Application screening (CV and, where relevant, a portfolio or code sample)
  3. 3Short introductory call with the recruiter about your background and interest
  4. 4Technical or practical round based on the day-to-day work of the role
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
52,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeWork from Home
CategoryData Science
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