Data Scientist (Deep Learning, Hedge Fund, Big Data)

Data Scientist (Deep Learning, Hedge Fund, Big Data)

  • Location

    New York City

  • Sector:

    Machine Learning & AI

  • Job type:


  • Salary:

    bonus, paid vacation, benefits

  • Contact:

    Mat Ferdenzi

  • Email:


  • Job ref:


  • Published:

    2 months ago

  • Expiry date:


  • Startdate:


  • Consultant:


Data Scientist (Deep Learning, Hedge Fund, Big Data)

We are looking for a Data Scientist (Deep Learning, Hedge Fund, Big Data) to join our dedicated Investment Research team; helping us to build, test and analyse some of the most advanced predictive Systematics Machine Learning models in the world and implement them within the financial markets.

As a Data Scientist within our organisation, you will be working with individuals who are creative, ambitious and innovative. Within our leading organisation, we hold growth and development, excellence and integrity in the highest regard. We currently have over 1000 people in ten different locations around the world and are nearing fifteen billion dollars in value. It is our mission to continue pushing the boundaries in terms of our research, continuing to be seen as leaders of the market; as a Data Scientist you can have a strong impact on our journey.

As a Data Scientist in our company you will enjoy the real-world challenges in a working style similar to your post-doc or PhD. We need people who can identify and deploy cutting edge models which are powerful, yet robust - you can play a big part in our company's future.

What we can offer a Data Scientist:

  • A place in a world leading hedge fund
  • An environment which truly looks after talent and cultivates success
  • A team of very talented individuals with some of the smartest investors in the industry
  • High salaries and big bonuses

Key Skills: Quantitative Machine Learning Researcher / Machine Learning Scientist, Quantitative Researcher, ML, Artificial Intelligence, AI, Hedge Fund, Deep Learning Neural Networks, Python, SQL, Gaussian Process, Bayesian Inference, Time-Series, Multi-Agent Systems, Deep Learning, Reinforcement Learning, Probabilistic Models, Neural Networks, Natural Language Processing, Markov Models, Signal Processing, Computational Statistics, Econometrics