Quantitative Analyst Intern

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Location

Bengaluru, Karnataka, India

Work Mode

Hybrid

Duration

3 months

Stipend

₹0/mo

Start Date

Immediate / Rolling

Openings

2 positions

Type

Full-time

About the Internship

Join RideAlly in Bengaluru as a Quantitative Analyst Intern and take a meaningful first step into the world of data science. This structured, guided internship lets you spend your time applying statistics and modelling to quantitative problems, learning directly from practitioners who ship data and…

About RideAlly

About RideAlly RideAlly is a Bengaluru-based mobility company that provides cab, taxi, carpool, and corporate-commute services with a stated focus on safe and secure commuting. Headquartered in HSR Layout, Bengaluru, the company offers a range of transport options including airport transfers…

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Bengaluru, Karnataka, IndiaVerified employer2 openings

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Skills Required

PythonStatisticsProbabilitySQLFinancial ModellingTime Series AnalysisNumPyPandasMachine LearningExcelAnalytical ThinkingAttention to Detail

Perks

Internship CertificateLetter of RecommendationMentorshipReal-World Data Project ExperiencePre-Placement Offer (PPO) OpportunityFlexible HoursPaid Stipend

Interview & Selection Process

4 rounds — typical selection flow for this role:

1The selection process for the Quantitative Analyst Intern at RideAlly is structured, merit-based and typically involves 4 evaluation rounds followed by an HR discussion (about 5 stages in total): Round 1: Online Application & Resume Screening — apply through the verified link on this page; profiles are shortlisted on fundamentals and fit Round 2: Online Assessment / Aptitude — a test covering statistics, SQL, Python and basic data science concepts Round 3: Technical Interview 1 — core data-science fundamentals: statistics, Python, Statistics, Probability and problem-solving Round 4: Technical Interview 2 / Case Study — a hands-on data/ML case or take-home task discussion with the team Round 5: HR Discussion — role expectations, stipend, start date and offer The process is designed to assess your fundamentals, problem-solving ability and communication rather than rote knowledge. There are no charges at any stage. Shortlisted candidates are contacted through the official careers channel after they apply via the link on this page.

₹0/month

Stipend · 3 months

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Openings2 positions

Applicants0 applied

ModeHybrid

CategoryData Science

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