Full-Time

Member of Research Staff

The Voleon Group

The Voleon Group

201-500 employees

Quantitative hedge fund

Data & Analytics
AI & Machine Learning
Financial Services

Entry, Junior, Mid

Oakland, CA, USA

Required Skills
Python
R
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 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 Stage

N/A

Total Funding

N/A

Headquarters

Berkeley, California

Founded

2007

Growth & Insights
Headcount

6 month growth

8%

1 year growth

26%

2 year growth

31%