POSITION: MACHINE LEARNING LEAD

To apply, e-mail your CV to careers@soliduslabs.com | For additional positions, check out our careers page | For more about Solidus and our work, check out soliduslabs.com

THE POSITION

As part of our expansion, Solidus is looking for a visionary machine learning lead engineer to work with CTO and data scientists and take our already running infrastructure to the next level and respond to intensifying client demand. This is a leadership position, and we are looking for the right person to help advance our ambitious vision and grow with the company. A strong candidate should be confident in her or his ability to utilize machine learning for the detection of complex financial market manipulation schemes under tight deadlines corresponding with constantly evolving needs. As a young startup we are most interested in leaders who can manage teams and see the big picture, but are also ready to roll up their sleeves and engage with the demanding day to day of a growing company in an extremely dynamic space.


RESPONSIBILITIES

  • Develop and implement models using machine learning and deep learning techniques for trading surveillance

  • Strategize with management to implement business decisions derived from your analytical insights

  • Experiment with data science and machine learning technologies to develop new methodologies for modeling, analytics, and algorithms

  • Hire, train, and mentor a team Data Scientists that will report directly to you


REQUIRED SKILLS

  • Deep understanding of Machine Learning or Deep Learning methodologies including but not limited to GBM, SVM, neural networks, supervised & unsupervised learning

  • Experience with statistical analysis skills including regression analysis, time series analysis

  • Proven technical skills with tools such as Python,  Java, C++, Hadoop, Spark, R, Scala

  • Experience with fintech/trading strategies/financial products is a plus

  • Ability to collect and clean large datasets and analyze statistical patterns

  • Master's Degree in a relevant field of study; Ph. d highly preferred

  • 10+ years of relevant experience

  • Strong communication skills