Redstone Commodity Search focus on offering 360 search solutions to the global commodities markets. With a competitive coverage of Trading Houses, Producers, Majors, Utilities, Merchants, Hedge Funds, Investment Banks and Brokerages; Redstone Commodity Search can confidently offer you an edge in today’s volatile market.
Redstone Commodity Search are working with a hedge fund in Singapore seeking a Machine Learning Researcher.
Key Responsibilities / Tasks
•Responsible for researching quantitative trading strategies using machine learning / artificial intelligence techniques
•Employing artificial neural networks (Jordan / Elman, etc.) and deep learning techniques
•Working closely with traders and analysts
•Optimisation and improvement of current execution systems and research latency
•Role reports to Head of Research
Key Qualifications / Experience
•Postgraduate degree (PhD or MSc in a highly quantitative field, such as Mathematics, Physics, Financial Engineering
•Experience in research and development of machine learning algorithms, neural networks (ANNs, RNNs, DBNs), regression models, genetic algorithms and time series forecasting
•Strong proficiency in Python, MatLab
•Strong understanding of statistics and probability
•Based in Singapore
Keywords: machine learning, artificial intelligence, neutral networks, Jordan network, Elman network, commodities, derivatives, futures, options, research, quantitative, quant, strategist, hedge fund, trading strategy, alpha, Singapore, Asia, Hong Kong, Python, Java, C++, Matlab, support vector machine, SVM, time series, genetic algorithms, ANN, RNN, DBN, regression models, neural networks, machine learning algorithms, Redstone Commodity Search, RS0476A
If you match the job description and are keen on applying for this role; please send us a copy of your resume/cover letter to firstname.lastname@example.org or submit your application through the Vacancy Form.
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