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    Tech Start Up Recruiting Model Quant Engineers - San Francisco, United States - Eka Finance

    Eka Finance background
    Description

    Requirements :-

    Advanced or basic degree (recent PhD from top university / MS with 5+ years experience) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on Machine Learning , AI , NLP , deep learning, and/or / data-driven statistical analysis & modelling

    Strong, proven programming skills (5+ years of programming experience) in Python, C/C++, Java, Scala, and with machine learning and deep learning and Big data frameworks including TensorFlow, Keras, Caffe, MXNet, Spark, Hadoop, and NLP frameworks such as NLTK, Stanford NLP, SpaCy, and others. 5+ years programming experience with writing complex programs and implementing custom algorithms in these and other environments.

    They are open to quants who have spent several years working within finance but who would be interested in moving to a tech firm to work on real life problems. They are also considering senior data scientists who have experience of working in the tech sector or who are running teams at bulge bracket funds who are after another challenge.

    Ideally you will be based on the West Coast but they are willing to consider candidates from any part of the USA also.

    This is a really exciting opportunity to join a really exciting tech start up from the off set .



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