Applied ML Researcher - Finance & Live Trading

Voleon; Berkeley (CA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life and AD&D

Paid time off 20 days

Sick days 9

401(k) with company match

Job summary

Voleon, a technology company applying state-of-the-art AI/ML to finance, is hiring a Research Staff member in a hybrid role in the Bay Area. You will work on financial market prediction, portfolio optimization, and production-ready models, using diverse datasets and experiments to improve predictive accuracy and live trading results.

Collaborate with internationally recognized researchers and finance professionals, publish ideas, and iterate from basic research to productization.

Qualifications

• 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.

Skills

Statistical ML

Mathematics

Python/R programming

Large-scale computing

Team collaboration

Finance interest

PhD coursework

Education

PhD coursework

PhD degree

Job description

Voleon, a technology company applying state-of-the-art AI/ML to finance, is hiring a Research Staff member in a hybrid role in the Bay Area. You will work on financial market prediction, portfolio optimization, and production-ready models, using diverse datasets and experiments to improve predictive accuracy and live trading results.

Collaborate with internationally recognized researchers and finance professionals, publish ideas, and iterate from basic research to productization.