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

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: Pleaseemail your resume to [Confidential Information] ; please also specify your preferred work mode (Part-Time vs Full-Time / Remote vs in-person), and availability May 2026 onwards.

Stipend: The role carries a basic fixed compensation, however the majority of the stipend would come from the individual's alphas submitted and tied to the performance and number of signals.