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Navi Technologies logo — Navi Technologies Quantitative Analyst Intern in Bengaluru, Karnataka, India
Navi Technologies VerifiedActively Hiring

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

1 positions

Type

Full-time

Category

Data Science

Apply Now — ₹0/mo

About the Internship

Navi Technologies is inviting applications for a Quantitative Analyst Intern based in Bengaluru, one of India's leading data-science and technology hubs. This is a hands-on, mentor-led internship built for students and freshers who want real, practical experience applying statistics and modelling…

About Navi Technologies

About Navi Technologies Navi Technologies is a Bengaluru-based financial-services company founded in 2018 by Sachin Bansal and Ankit Agarwal, after Bansal's earlier co-founding of Flipkart. Navi set out to build a fully digital, technology-first financial-services company that offers simple…
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Bengaluru, Karnataka, IndiaVerified employer1 opening
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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:

  1. 1The selection process for the Quantitative Analyst Intern at Navi Technologies 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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Openings1 positions
Applicants0 applied
ModeHybrid
CategoryData Science
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