Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.

Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.

Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

DESIRABLE CANDIDATES:

Master’s or PhD in machine learning, computer science, statistics, or related fields.

Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.

Prior research experience utilizing machine learning over large, possibly noisy, data sets.

Strong analytical and quantitative skills, and a detail-oriented mindset.

Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.

Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).

Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.

Commitment to the highest ethical standards.

Quantitative Researcher - Machine Learning

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Point72

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