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BankSathi logo — BankSathi Quantitative Analyst in Thane, Maharashtra
BankSathi VerifiedActively Hiring

Quantitative Analyst

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Location

Thane, Maharashtra

Work Mode

Hybrid

Duration

0 months

Stipend

₹53,000/mo

Start Date

Immediate / as per notice period

Openings

5 positions

Type

Full-time

Category

Data Science

Apply Now — ₹53,000/moApply on Company Website ↗

About the Internship

Applications are open for the Quantitative Analyst position at BankSathi in Thane. 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 As a Quantitative Analyst at BankSathi…

About BankSathi

BankSathi is hiring a Quantitative Analyst in Thane — a full-time full-time position working in Python, SQL and market data systems, with an indicative CTC of 4.2 LPA–8.4 LPA and 5 openings.
Thane, MaharashtraVerified employer5 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 Thane 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

Paid leave, casual leave and public holidaysFlexible working hours around core collaboration timeModern hardware and the tool licences your role needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemesTeam offsites and regular in-person timeSupport for internal mobility across teams

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
53,000/month

Stipend · 0 months

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Openings5 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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