Software Developer – Java, Spark, Apache Mesos, Machine Learning, AI – Systematic Trading Fund

Oxford Knight
14 February 2019
London, United Kingdom
Job Type
Preferred Academic Qualification
Recruiter/Employer Name
Cajovi Daniel


My client is a technology and innovation driven systematic trading fund using big data, machine learning and distributed computing to guide their investment management strategies. The company have built a data accumulation platform that is capable of ingesting over 10 terabytes of data per day. They have over 50 petabytes of information stored using a custom distribution storage solution. The company are advocates for using and contributing to open source technology and there is a clear focus on learning, teaching and sharing information.

The Role

You’ll be working with a small, diverse and collaborative team of approx. 30 technologists, with expertise in Mathematics, Statistics, Computer Science and Physics. You’ll be working with big data technologies e.g. Spark and Apache Mesos, Machine Learning and AI technologies to produce sophisticated data analysis and trading systems. They are looking for highly intelligent individuals, with an enthusiasm for problem-solving and a passion for applying their superior coding abilities in a fast-paced trading environment.


  • A bachelor’s degree from a world leading university in Computer Science (or equivalent) or Quantitative Field
  • High level of proficiency in any OO language (preferably, Java)
  • Interest in Machine Learning and Artificial Intelligence


Keywords: Java, Spark, Big Data, Apache Mesos, Machine Learning, AI, Hedge Fund, Trading Fund


If you think you are a strong candidate for the role and would like further info, please contact:

Cajovi St Matthew Daniel



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