Machine Learning Engineer

  • Hours: 100%

  • Location: Zürich

  • Duration: start negotiable

swissQuant Group provides quantitative services, consultancy and products for financial and industrial clients, including a number of global Fortune 500 companies. Our business edge originates from the effective translation of Intelligent Technology into measurable, bottom-line client value. swissQuant Group is a privately held company incorporated in 2005 as a spin-off of ETH Zürich.

Position Overview

We are looking for a machine learning engineer with strong python software development skills and experience, to support the Quant Research team in building proof-of-concepts for efficient and large scale data analytics, AI or optimization solutions.

You will work in a small team of Quant Engineers dedicated to research and innovation projects aiming at exploring new application of data mining, AI and optimization in the financial sector. Your work will in particular focus on the software implementation side (benchmarking/profiling, improving performance and scalability, cloud solutions implementation)

Desired Skills and Experience

To be a successful candidate, you must fulfil the following requirements:

  • PhD degree in Computer Science, Engineering or Data Science

  • At least 3 years of working or academic experience in implementing efficient and large scale data mining/AI solutions

  • Knowledge of C and proficiency in Python (including Cython, OpenMP, PySpark, Dask, Multiprocessing, TensorFlow). Java knowledge is a plus

  • Knowledge of datastores (SQL or NoSQL) and cloud computing services (AWS, Google cloud)

  • Strong analytical thinking

  • Strong communication skills in English

  • Eligible to live and work in Switzerland

Machine Learning Engineer (PDF, 72 kb)

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