This posting is no longer listed by Point72.
hirly last saw it live on 1 September 2026. Similar roles are on the live board.
Point72
Quantitative Researcher - Machine Learning
New York, London, or Hong Kong
Apply through hirly
hirly scores this role against your resume, shows its reasoning, then writes a resume and cover letter for it and fills the application with you. Free to start — no card required.
hirly's read of this role
- Seniority
- Mid level
- Country
- HK
- Work mode
- On-site / unstated
- First seen by hirly
- 1 Sept 2026
Derived automatically from the posting. Sign up to see how the role scores against your own resume.
the posting
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.
Is this role actually a fit for you?
hirly answers with a score and its reasoning, then writes the resume and cover letter if you decide to go for it.
Score it against my resume