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Graviton Research Capital, based in Gurugram, India, is seeking a researcher to apply deep learning to trading problems. You will work on modeling large datasets, iterating on architectures, and collaborating with quant researchers and software engineers to deploy models into production.
Ideal candidates hold a PhD/masters in a quantitative field, have 2+ years of ML/AI research experience, and are proficient in Python/C++. Experience with TensorFlow, Keras, and PyTorch is highly desirable.
Who are we:Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition, to statistical inference analyzing terabytes of data to come up with ideas to identify pricing anomalies in financial markets.
As part of this team you will be tasked to apply machine learning and specifically deep learning techniques to trading problems while staying connected to broader research community. The researcher will put theory into practice and can immediately impact the global trading landscape with the expanding presence of Graviton in various markets.
Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!
Our perks have you covered.
Graviton Research Capital is a high-frequency and quantitative trading firm founded in 2014 by IIT-Delhi classmates Ankit Gupta and Nishil Gupta. Based in Gurugram, it has emerged as "the fastest…