Applied ML Research Staff — Finance & Markets

The Voleon Group

Berkeley (CA)

Vor Ort

USD 170.000 - 250.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

The Voleon Group in Berkeley, CA is seeking a Member of Research Staff to advance statistical machine learning for financial market prediction and portfolio optimization. You will work with diverse datasets to develop, validate and productionize predictive models used in live trading.

This role requires Ph.D.-level coursework with a Ph.D. preferred, and a strong track record as an applied researcher in ML. Relocation and work visa eligibility are considered for qualified candidates.

Qualifikationen

  • 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 prerequisite.
  • Ph.D. level coursework is required, and a Ph.D. degree in a relevant field is preferred.

Aufgaben

  • 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.

Kenntnisse

ML research
Statistical methods
Python/R
Large-scale computing
Collaboration

Ausbildung

PhD in a relevant field

Tools

Python
R
SQL

Jobbeschreibung

The Voleon Group in Berkeley, CA is seeking a Member of Research Staff to advance statistical machine learning for financial market prediction and portfolio optimization. You will work with diverse datasets to develop, validate and productionize predictive models used in live trading.

This role requires Ph.D.-level coursework with a Ph.D. preferred, and a strong track record as an applied researcher in ML. Relocation and work visa eligibility are considered for qualified candidates.

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