Quantitative Analytics

il y a 2 semaines

Paris, France Selby Jennings Temps plein

Working with a high performing multi-strategy hedge fund who are looking for a data analytics focused quant developer to joined their Paris based team, working closely with data engineering and research teams.


Key Responsibilities:

  • Collaborating with quant researchers and data teams to assess and evaluate new alternative datasets.
  • Leveraging machine learning and statistical methods to identify predictive features and automate their extraction.
  • Managing the end-to-end lifecycle of data science projects, from data acquisition and exploration to engineering, prototyping, and production deployment.
  • Utilizing a broad range of methodologies, including unsupervised and supervised learning, natural language processing (NLP), and anomaly detection.
  • Partnering with data engineers and quantitative researchers to design and understand complex systems.


Desired Skills and Experience:

  • Strong interest in financial markets, data analysis, and programming.
  • Expertise in managing both structured and unstructured data.
  • Strong data analytics experience and experience with advanced analytics.
  • Proficiency in Python
  • Experience with cloud platforms, ideally AWS.
  • A natural curiosity and drive to uncover emerging and alternative data sources.
  • Ability to work independently and effectively within a global team of researchers and data engineers.
  • Advanced degree (Post Graduate) in Data Science, Computer Engineering, Mathematics, or Statistics.
  • Over 3 years of professional experience within Data/Quant Analytics or Data Science.
  • Significant experience in natural language processing (NLP) is preferred.


What Sets This Role Apart:

  • The position is tailored for individuals with a strong background in data analytics who are also comfortable working alongside data engineers.
  • You'll be part of a team that values analytical prowess over traditional development roles, focusing on leveraging data to drive insights and innovation.
  • This role offers the opportunity to work on cutting-edge projects in a collaborative and intellectually stimulating environment.


If you are passionate about data & quantitative analytics and enjoy working in an interdisciplinary setting, we encourage you to apply.

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