Applied ML Researcher - Financial Markets (Hybrid)

Voleon

New York (NY)

Hybride

USD 225 000 - 250 000

Plein temps

14 jours+

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Résumé du poste

Voleon Securities seeks a creative, entrepreneurial researcher for its Member of Research Staff. You will focus on financial market prediction and portfolio optimization, building and evaluating ML models across diverse datasets.

The role blends basic research with productionization and live trading validation. You will work with renowned AI/ML experts and finance/tech professionals to push frontier methods while delivering practical results in a fast-paced environment.

Qualifications

  • Background in modern statistical methods and machine learning with a track record as an applied researcher.
  • Experience in at least one of: optimal control, deep RL, deep learning, or causal inference.
  • Evidence of strong mathematical abilities (publications, coursework, or competitions).
  • Interest in software development and production-level Python code.
  • Ability to solve large-scale computing problems.
  • Eagerness to work in a fast-paced growing business.

Responsabilités

  • Develop a rich understanding of Voleon’s challenges and methodologies and propose research innovations to improve trading models.
  • Prepare and analyze new datasets to assess predictive efficacy.
  • Develop, validate, and implement new models into production.
  • Design experiments to improve simulations and evaluate models in live environments.
  • Collaborate with researchers and software engineers to drive tangible outcomes.
  • Stay current with academic research to identify novel approaches for application.

Connaissances

Optimal control
Deep RL
Deep learning
Causal inference
Python programming
Mathematical ability

Formation

PhD in a relevant field

Outils

Python

Description du poste

Voleon Securities seeks a creative, entrepreneurial researcher for its Member of Research Staff. You will focus on financial market prediction and portfolio optimization, building and evaluating ML models across diverse datasets.

The role blends basic research with productionization and live trading validation. You will work with renowned AI/ML experts and finance/tech professionals to push frontier methods while delivering practical results in a fast-paced environment.

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