Jobs at Point72

Positions 283,627

Point72 is a global asset‑management firm founded by Steven A. Cohen that leverages cutting‑edge technology to drive investment decisions. The company maintains a dedicated technology division that builds high‑performance trading platforms, data‑analytics pipelines, and AI models, making it a prime destination for software engineers and data scientists who want to work on real‑world financial systems.

Typical roles at Point72 include Software Engineer (backend, frontend, full‑stack), Data Scientist, Machine Learning Engineer, Security Engineer, Product Manager, Cloud Engineer, DevOps, and Technical Program Manager. Candidates can expect rigorous coding challenges, data‑driven case studies, and collaborative projects that span from low‑latency infrastructure to AI‑powered market insights.

Job Transparency’s Point72 listings give you a clear view of salary ranges, benefits, and employee sentiment, so you can assess whether a role aligns with your compensation goals and career trajectory before you apply. The data also highlights interview length, success rates, and team feedback, helping you target positions that match your skill set and expectations.

No open positions at Point72 right now.

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Frequently Asked Questions

What is it like to work at Point72?

Point72 offers a high‑energy, research‑driven environment where teams collaborate on data‑intensive projects that directly impact portfolio performance. Employees receive mentorship from senior analysts, frequent skill‑building workshops, and access to proprietary financial data and advanced computing resources. The culture values continuous learning, quantitative rigor, and a flat hierarchy that encourages initiative.

What types of positions are available?

Point72 hires across a broad spectrum of tech roles: Software Engineer (backend, frontend, full‑stack), Data Scientist, Machine Learning Engineer, Security Engineer, Product Manager, Cloud Engineer, DevOps, Technical Program Manager, and Data Engineer. These roles support high‑frequency trading, risk analytics, cybersecurity, and product development for both internal trading desks and external clients.

How can I stand out as an applicant?

Tailor your resume to highlight specific projects that demonstrate low‑latency coding, large‑scale data processing, or AI model deployment. Include measurable outcomes (e.g., reduced latency by 15%, increased model accuracy by 12%). Contribute to relevant open‑source libraries or publish technical blogs. Prepare for coding interviews by mastering data structures, algorithms, and system design, and practice finance‑specific problems such as time‑series analysis and probability modeling.

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