L​/S NLP​/ML Engineer

A Career with Point
72’ Long/Short Equities Team

Long/short equity is Point
72’s core strategy and its success is dependent upon our sector-based investing teams. Using fundamental research, our Research Analysts inform the investment strategies of our Portfolio Managers. Through our Point
72 University, you have access to an unparalleled training and coaching curriculum – so you can create your best chance of success. We offer you a clear path based on your abilities, hard work, and performance. Join us for a career at the forefront of investing.

• Explore and combine rich internal and external compliance approved textual datasets
• Formulate research hypothesis to derive alpha
• Build GenAI solutions, leveraging both internal models and permissible external APIs
• Turn unstructured text into usable data that can help provide inputs to the investment process and quantitative models
• Create systems to pull useful information from large collections of text
• Test and improve NLP and ML models so they are reliable and accurate

• Bachelor, Master’s or PhD degree in computer science or another quantitative discipline
• Experience in NLP, particularly LLMs
• Proficient in Python, SQL, and general software engineering principles (github, testing, etc.)
• Familiarity with data science stack
• Interest in financial markets
• Collaborative mindset
• Commitment to the highest ethical standards

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Private Medical and Dental Insurances
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of colour and the LGBQT+ community
• Mental and physical wellness programmes
• Tuition assistance
• Non-contributory pension and more

Point
72 is a leading global alternative investment firm led by Steven

A. Cohen. Building on more than 30 years of investing experience, Point
72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long‑term growth. For more information, visit