Point72

About Point72

Harnessing data for smarter investment decisions

🏢 Finance, Investment Banking👥 1K-5K📅 Founded 1992📍 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...

Point72

Quantitative Analyst Mid-Level

Point72New York

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Overview

Point72 is seeking a Quantitative Researcher (NLP) to join their NLP quant team. You'll leverage machine learning and NLP techniques to develop trading signals and features from diverse datasets. This role requires proficiency in Python and a strong understanding of machine learning principles.

Job Description

Who you are

You have a Bachelor's, Master's, or PhD degree in computer science or a related quantitative discipline, and you possess strong machine learning and data science skills. Your experience includes working with modern NLP techniques, and you have a curiosity about finance and trading that drives your research. You are proficient in Python and understand general software engineering principles, including version control and testing workflows. Your collaborative mindset and great attitude make you a valuable team player.

You have prior research experience, which has equipped you with the ability to formulate research hypotheses and derive alpha from your findings. Your familiarity with deep learning frameworks, particularly PyTorch and Hugging Face, allows you to construct features from varied datasets effectively. You are also comfortable with the data science stack, which enhances your ability to analyze and interpret complex data.

Desirable

Experience with financial markets is a plus, as it helps you understand the context in which your models will operate. You are committed to the highest ethical standards in your work, ensuring that your research and findings are reliable and trustworthy.

What you'll do

As a Quantitative Researcher (NLP) at Point72, you will be responsible for using NLP techniques to construct features from diverse datasets, which will be critical in formulating research hypotheses aimed at deriving alpha. You will build and test the performance of trading signals based on NLP and financial features, ensuring that these signals are robust and effective in real-world trading scenarios. Your role will also involve launching identified signals into production, where you will monitor their performance and make necessary adjustments based on market conditions.

You will collaborate closely with other members of the NLP quant team, sharing insights and findings to enhance the overall research output. Your work will contribute to the development and launch of end-to-end signals, from data processing to performance testing, which are essential for Point72's investment strategies. You will have the opportunity to engage with cutting-edge NLP methods and apply them in a financial context, making a significant impact on the firm's trading capabilities.

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 access to resources and support that enable you to excel in your role and contribute to the firm's success. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team.

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