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quantitative researcher jobs

quantitative-researcher-ebullient-securities-gurugram

Quantitative Researcher – Ebullient Securities (Gurugram)

About the job Ebullient Securities specializes in Quantitative Proprietary Trading. We are one of the biggest Prop Options Trading firms in India. Our quantitative edge has helped us scale over time and produce consistent alphas. At this junction, we are looking to expand our technology team, networking team, and quantitative trader’s team who can utilise […]

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Senior Quantitative Researcher – Escalent (Greater Kolkata Area)

About the job Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data,

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quantitative-researcher-teesta-investment-pvt-ltd-kolkata

Quantitative Researcher – Teesta Investment Pvt. Ltd. (Kolkata)

About the job We’re one of the largest digital assets proprietary trading firms based out of India. We make markets move towards efficiency. We are looking for Quantitative Researcher to be part of our small but growing team to help us to identify, model, and build successful trading strategies stretching across centralised and decentralised crypto

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Quantitative Researcher – Dolat Capital (Mumbai)

Dolat Capital Market Pvt. Ltd. is a multi-strategy trading firm, dedicated to producing superior returns adhering to mathematical and statistical techniques. We trade actively in all Asset classes: equities, futures, options, commodities, currencies and fixed income taking advantage of our ultra-low latency infrastructure. Our low latency infrastructure is in C++, one of the most competitive

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Quantitative Researcher – Trexquant Investment LP (Gurugram)

About the job Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity and futures markets globally. Starting with many data sets, we develop a large set of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking

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