T

The Voleon Group

Runs machine-learning hedge funds for institutions

Member of Research Staff - Optimization

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-time$250k - $275k /yrHybrid

About the Job

Requirements

  • Background in one or more of numerical methods, optimization solvers, mathematical programming, convex optimization, or nonconvex optimization.
  • Expertise in stochastic control and reinforcement learning.
  • Evidence of strong mathematical abilities, such as a publication record, graduate coursework, or competition placement.
  • Interest in software development techniques and willingness to write production-level code; Python and/or C++ are preferred.
  • Interest in financial applications is essential, but prior finance industry experience is not a prerequisite.
  • Ph.D.-level coursework is required.

Responsibilities

  • Develop an understanding of the company's challenges and methodologies and propose research innovations and experiments to build, maintain, and improve models governing its investment strategy.
  • Design, implement, and improve large-scale constrained optimization methods that determine trading decisions under forecasts, risk, costs, liquidity, and operational constraints.
  • 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 with other Members of Research Staff and Software Engineers at each stage, driving progress toward tangible outcomes.
  • Keep up to date on the latest academic research to identify novel approaches to explore for application to the company's domain.

Desired Qualifications

  • A Ph.D. degree in a relevant field.
  • Python and/or C++ programming.

About the Company

The Voleon Group

Runs machine-learning hedge funds for institutions

The Voleon Group runs hedge funds for institutions such as pension plans and sovereign wealth funds, using machine-learning models instead of human judgment to choose every trade. It began live trading in 2008 as one of the early hedge funds to hand all of its trading decisions to machine-learning models. Those models comb through years of price and trading data for patterns that predict market moves, then trade automatically in stocks, bonds, futures, currencies and derivatives. Voleon earns management fees plus a share of the gains it makes for investors. A computer scientist and a statistician founded Voleon in 2007, and it is based in Berkeley, California, near the University of California campus.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Berkeley, CA
Founded
2007

Recently Posted Jobs

Explore more opportunities at The Voleon Group

See more jobs