Point72Official careers listing

Posted today

NLP Researcher

Pay

Not stated

Location

New York

On site

Skills this role screens for

PythonTestingAI/MLData scienceNLPResearchFinanceTradingQuant management

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The work

Role/Responsibilities

We are seeking a quantitative researcher to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.

The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.

The work

Responsibilities may include

  • Using NLP to construct features from varied datasets
  • Formulating research hypotheses to derive alpha
  • Building and testing the performance of trading signals based on NLP and financial features
  • Launching identified signals into production

Who they want

Requirements

  • Bachelor’s, Master’s or PhD degree in computer science or other quantitative discipline
  • Proficient in Python and general software engineering principles (github, testing, dev workflow)
  • Strong understanding of machine learning and statistics
  • Prior research experience preferred
  • Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
  • Data science stack familiarity preferred
  • An interest in financial markets
  • Great attitude
  • A collaborative mindset
  • Commitment to the highest ethical standards

Also

About Point72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

Where this listing comes from

From Point72's own careers system (Greenhouse).

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