Senior Quantitative Researcher Nirvana Solutions

About Nirvana Solutions

Job Description

Responsibilities Research, design, develop, and deploy advanced predictive machine learning models (hands-on). Develop and implement systematic trading strategies, based on the model predictions. Read financial literature and academic papers in search of market inefficiencies and inspiration. Form hypotheses about market patterns and dependencies and test them rigorously. Think creatively, innovate, and solve complex problems. Learn about financial markets and instruments and find ways to predict their future performance contributing to the development of best practices within the firm. Requirements Eagerness to learn about financial markets and ways to predict the performance of businesses and their stock prices. 5+ years of experience analyzing large amounts of data using Python or R. Extensive experience training and implementing models with Scikit-learn, Pytorch, and/or Tensorflow. Understanding of linear algebra, time series analysis, data mining, numerical methods, and statistical tools, including PCA and regression. A track record of demonstrated dedication and perseverance in solving complex problems. Excellent English, both spoken and written. Soft skills requirements. Excellent communication skills, both written and oral. Self-awareness, intellectual curiosity, and a team-player mentality. Self-starter, enthusiastic, and positive thinker. Good To Have Skills Degree(s) in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science. Exposure to packages such as pandas, NumPy, stats models, sklearn, scipy, matplotlib, and TensorFlow. C++ experience is an advantage. Experience or at least interest in machine learning techniques, time series analysis, and econometrics. Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN, or other autoencoders. This job was posted by Aayushi K from Nirvana Solutions.,