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Research Scientist

  • Permanent
  • $1,500,000 - $3,000,000
  • New York, United States, New York City
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Research Scientist, AI for Systematic Investing
Compensation:
Up to $3 million (base + bonus)
Location: New York City (4 days onsite)

Join a stealth AI-driven investment lab building next-generation intelligence for financial markets.

This team operates as a specialized AI venture within one of the world’s most established institutional investment firms. Their mission: to create a general-purpose intelligence system capable of conducting systematic investment research. Backed by deep technical and financial resources, they're applying cutting-edge AI, ML, and optimization techniques to one of the most complex domains in the world—global financial markets.

The Role

As a Research Scientist, you’ll work at the intersection of AI/ML and systematic investing. Your research will directly influence how financial signals are identified and leveraged. You’ll collaborate with top-tier researchers and engineers to develop predictive models, uncover new patterns in high-dimensional market data, and continuously push the boundaries of what AI can achieve in this space.

What You’ll Do

  • Design and implement novel ML and statistical models to support investment decisions
  • Develop advanced predictive systems and explanatory models for financial forecasting
  • Conduct original, high-impact research and translate findings into actionable strategies
  • Evaluate and integrate emerging methodologies to enhance analytical capabilities

What You’ll Bring

  • Ph.D. in a quantitative discipline (CS, Statistics, Math, Physics, etc.)
  • 3–5 years of experience in applied research, ideally with published work
  • Advanced programming and data science skills; comfortable with real-world, messy datasets
  • End-to-end experience with data pipelines, model development, and interpretability
  • Ability to independently solve open-ended problems and learn across domains
  • Clear communicator, capable of explaining complex ideas to technical and non-technical audiences

Tech Stack

  • Python, PyTorch/TensorFlow
  • Statistical modeling, optimization
  • Cloud computing, distributed systems

Why Join?

  • Tackle some of the most intellectually demanding problems in investing
  • Collaborate with world-class researchers and technologists
  • High-impact work with direct application to real-world decisions
  • Competitive compensation, generous benefits, and an innovation-first culture

About People In AI

People In AI is a specialist recruiting firm helping top-tier technical talent find roles at the intersection of artificial intelligence, research, and engineering. We partner with startups, labs, and enterprise R&D teams across North America to help shape the future of AI.

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