Quantitative Research Intern (Gurugram)

Quantitative Research Intern (Gurugram)

14 Oct
|
QuantaNova Technologies
|
Gurugram

14 Oct

QuantaNova Technologies

Gurugram

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 explicit 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

📌 Quantitative Research Intern (Gurugram)
🏢 QuantaNova Technologies
📍 Gurugram

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