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Member of Research Staff
Confirmed live in the last 24 hours
Locations
Oakland, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
R
Python
Requirements
  • Background in modern statistical methods and machine learning with a track record as an applied researcher
  • Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement)
  • Interest in software development techniques and willingness to write production level code (Python and/or R preferred)
  • Ability to solve large-scale computing problems
  • Eagerness to work in collaborative and diverse teams
  • Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite
  • Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred
Responsibilities
  • Develop a rich understanding of Voleon's challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our investment strategy
  • Prepare and analyze new datasets to assess their predictive efficacy
  • Develop, validate, and implement new models into production
  • Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment
  • Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes
  • Keep up to date on the latest academic research to identify novel approaches to explore for application to our domain
The Voleon Group

51-200 employees

Quantitative hedge fund
Company Overview
The Voleon Group is committed to the development and deployment of cutting-edge technologies in investment management. The company applies rigorous data-driven techniques to financial markets, driven by in-house innovations in machine learning.
Company Core Values
  • Innovation
  • Creative approaches to complex problems
  • Teamwork - maintaining a collaborative and collegial culture