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Cashfree Payments logo — Cashfree Payments Quantitative Analyst in Chandigarh, Chandigarh
Cashfree Payments VerifiedActively Hiring

Quantitative Analyst

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Location

Chandigarh, Chandigarh

Work Mode

In Office

Duration

0 months

Stipend

₹59,000/mo

Start Date

Immediate / as per notice period

Openings

2 positions

Type

Full-time

Category

Data Science

Apply Now — ₹59,000/moApply on Company Website ↗

About the Internship

Applications are open for the Quantitative Analyst position at Cashfree Payments in Chandigarh. 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 In this role you will be…

About Cashfree Payments

Cashfree Payments is hiring a Quantitative Analyst in Chandigarh — a full-time full-time position working in Python, SQL and market data systems, with an indicative CTC of 4.7 LPA–9.4 LPA and 2 openings.
Chandigarh, ChandigarhVerified employer2 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 Chandigarh 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

Team offsites and regular in-person timeSupport 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 time

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Short introductory call with the recruiter about your background and interest
  3. 3Technical or practical round based on the day-to-day work of the role
  4. 4HR discussion — compensation, notice period, joining date and offer roll-out
59,000/month

Stipend · 0 months

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Openings2 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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