Quantitative Researcher Intern

QuantaNova Technologies LLP

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Duration:

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QuantaNova Technologies is a new-age quantitative trading firm with a bold vision: to build a world-class, AI-first investment platform, democratizing institutional-grade quantitative investing across global marketsdriven by Exceptional mathematical foundation in linear algebra, statistics, econometrics, probability and signal processing

scientific principles and academic rigor. Founded by graduates from the Massachusetts Institute of Technology (MIT), with extensive experience managing multi-million-dollar portfolios at leading global hedge funds, we are poised to redefine the investing landscape.

We are growing our team fast and are seeking passionate pre-final year/ Final Year 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 optimization frameworks.

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 , ML/AI

Write clean, modular, and well-documented code with a strong focus on scalability and performance.

Requirements

Currently in Pre-Final Year/ Final year of B.Tech/M.Tech 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.

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

Prior experience with alpha-research through competitions/ projects/ part-time roles/ internships strongly preferred

Bonus Skill: olympiads in mathematics/ physics and/or research publications in quantitative discipline

What We Offer

Be part of a fast-growing team aiming to reshape the financial landscape.

Hands-on experience with real-world, end-to-end design of trading signals and strategies

To Apply:

Stipend: in-line with industry standard for both part-time and full-time oppurtunities