Point72

About Point72

Harnessing data for smarter investment decisions

🏒 Finance, Investment BankingπŸ‘₯ 1K-5KπŸ“… Founded 1992πŸ“ Stamford, Connecticut, United States

Key Highlights

  • Manages over $20 billion in assets
  • Founded by billionaire investor Steven A. Cohen
  • Employs around 2,000 professionals
  • Headquartered in Stamford, Connecticut

Point72 Asset Management, LP, headquartered in Stamford, Connecticut, is a prominent hedge fund managing over $20 billion in assets. Founded by billionaire investor Steven A. Cohen, Point72 employs around 2,000 professionals and utilizes advanced data analytics and AI/ML technologies to drive invest...

🎁 Benefits

Point72 offers competitive salaries, performance-based bonuses, equity participation, generous PTO policies, and comprehensive health benefits. The fi...

🌟 Culture

Point72 fosters a culture of intellectual curiosity and data-driven decision-making. The firm emphasizes collaboration and innovation, encouraging emp...

Skills & Technologies

Overview

Point72 is seeking an NLP Engineer to join their quant research team. You'll develop modern NLP solutions, including LLMs and GenAI applications. This role requires experience in NLP and proficiency in Python and SQL.

Job Description

Who you are

You have a strong background in Natural Language Processing (NLP) and a proven track record of developing modern NLP solutions, particularly with large language models (LLMs). Your experience includes formulating research hypotheses to derive alpha and exploring rich textual datasets. You hold a Bachelor’s, Master’s, or PhD degree in computer science or a related quantitative discipline, showcasing your solid foundation in the field.

You are proficient in Python and SQL, and you understand general software engineering principles, including version control with GitHub and testing methodologies. Your familiarity with the data science stack allows you to effectively manipulate and analyze data, making you a valuable asset to the team. You have a keen interest in financial markets, which drives your motivation to apply NLP methods in investment strategies.

You possess a collaborative mindset, working well with cross-functional teams to achieve common goals. You are committed to maintaining the highest ethical standards in your work, ensuring that your contributions positively impact the organization and its stakeholders.

What you'll do

As an NLP Engineer at Point72, you will join a quant research team focused on leveraging modern NLP techniques to enhance investment strategies. Your responsibilities will include developing and implementing NLP solutions that utilize LLMs and other advanced methodologies. You will explore and combine internal and external textual datasets to extract valuable insights and formulate research hypotheses that can lead to alpha generation.

You will be tasked with building Generative AI solutions, leveraging both internal models and external APIs to create innovative applications that support the firm's investment objectives. Your role will involve collaborating closely with other team members, including data scientists and quantitative researchers, to ensure that your NLP solutions align with the overall research goals.

You will also be responsible for staying up-to-date with the latest advancements in NLP and data science, continuously seeking opportunities to improve existing methodologies and explore new techniques. Your contributions will play a crucial role in shaping the future of Point72's investment strategies through the application of cutting-edge NLP technologies.

What we offer

At Point72, you will be part of a leading global alternative investment firm that values innovation and collaboration. We offer a dynamic work environment where you can grow your skills and advance your career. You will have the opportunity to work alongside some of the brightest minds in the industry, contributing to projects that have a significant impact on the investment landscape. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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