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Quantitative Research Intern

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Quantitative Research Intern

QuantaNova Technologies LLP

Quantitative Research Intern

Skills

PythonData AnalysisMachine Learning

8 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Remote

Published on:

14 October 2026

What they need


QuantaNova Technologies LLP

Role: Quantitative Research Intern– (Part-time/Full-time, Hybrid)

Duration: 2-4 Months (extendable/ convertible to full-time)

Location: Golf Course Road, Gurugram, Haryana

QuantaNova Technologies is a next-generation quantitative trading firm built on rigorous scientific principles and a clear ambition: to create a world-class investment platform that brings institutional-grade quantitative strategies to investors across global markets. Founded by graduates of the Massachusetts Institute of Technology (MIT), and backed by deep experience managing multi-million-dollar portfolios at leading global hedge funds, QuantaNova is positioned to reshape the future of investing.We are growing our team fast and scaling our trading, and are seeking passionate B.Tech/M.Tech students with exceptional fundamentals in mathematics and computational problem solving, eager to gain hands-on experience developing production-grade trading signals and live strategies.

Key Responsibilities

· Contribute to the research, design and implementation of large number of diverse alpha signals on our proprietary backtesting and execution infrastructure

· Analyse vast amounts of market data and extract market mispricing using core statistical methods

· Assist in formulation of Machine Learning frameworks critical for strategy optimization

· Stay up-to-date with the latest research in quantitative finance , Financial Economics, Signal Processing

Requirements

· Currently a B.Tech/M.Tech student in Computer Science/Mathematics or a related engineering discipline from Tier-1 engineering institute

  • Strong Python skills with a solid understanding of data structures and algorithms.
  • Exceptional grasp on statistical and probability theory, time-series principles, regression and linear algebra

· Experience working with large datasets and associated big-data analysis libraries

  • Demonstrated knowledge of core ML tools and their theoretical underpinnings.

·  Strong Preference to candidates with prior experience working on alpha research- through internships, part-time work, global research roles, or quant competitions.

What We Offer

· Be part of a fast-growing team aiming to reshape the financial landscape with constant mentorship and guidance from senior researchers.

· Hands-on experience with real-world, end-to-end design of trading signals and strategies on a fully proprietary research infra.

  • Ability to design vast array of novel signals and custom strategies across datasets and trading horizons, and work on diverse aspects of the trading system
  • Flexibility to work remotely & part-time during college schedule.

To Apply: Please email your resume to [email protected] ; please also specify your preferred work mode (Part-Time vs Full-Time / Remote vs in-person)

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