JOB RESPONSIBILITIES:
A highly collaborative, fast-growing team at Internal Alpha Capture (IAC),
Point72 is developing AI-driven equity trading signals that leverage rigorous
research, state-of-the-art machine learning methods, proprietary data sources,
and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts.
Researchers will work closely with our experienced team members and apply the
full breadth of their machine learning knowledge to unique, proprietary
datasets, and develop novel trading signals that have high impact. Prior
experience in the financial industry is not required.
Key responsibilities may include:
• 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.
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