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Pine Labs logo — Pine Labs Quantitative Analyst in Guwahati, Assam
Pine Labs VerifiedActively Hiring

Quantitative Analyst

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Location

Guwahati, Assam

Work Mode

In Office

Duration

0 months

Stipend

₹59,000/mo

Start Date

Immediate / as per notice period

Openings

4 positions

Type

Full-time

Category

Data Science

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

About the Internship

Start your career in quantitative analysis at Pine Labs as a Quantitative Analyst in Guwahati. This is a full-time position with a structured first ninety days, a named mentor, and genuine responsibility once you are through it. About the role This Quantitative Analyst position is about building…

About Pine Labs

Pine Labs is hiring a Quantitative Analyst in Guwahati — 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 4 openings.
Guwahati, AssamVerified 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 Guwahati 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. 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. 4Take-home exercise or live problem-solving discussion
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out
59,000/month

Stipend · 0 months

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Openings4 positions
Applicants0 applied
ModeIn Office
CategoryData Science
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