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    AI Researcher

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      AI Researcher

      New York, NY

      $175,000 and $250,000

      Permanent

      Overview

      AI Researcher sought on behalf of a global liquidity provider, based in the firm’s New York office.

      As an AI Researcher, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods (e.g. GPT-4) to discover and capitalize on trading opportunities.

      The nature of the problems the firm works on is challenging, hence it hires some of the world’s top AI talent to develop novel AI methods and trading strategies. The team of talented researchers and technologists has been recognized as leaders in their field. The firm’s distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. The company is passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. The company environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.

       

      Skills, Knowledge & Experience

      • Earned or will earn a Master’s or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.
      • Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.
      • Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.
      • Ability to generate impactful research in academic or professional pursuits.
      • Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.
      • Interest and enthusiasm for learning about financial markets (previous experience not required).

       

      Company Benefits

      • Ping pong and poker games
      • Fun team outings
      • Unlimited office snacks
      • Free breakfast, lunch, and dinner
      • Gym membership
      • Full health insurance coverage for employees and dependents

      Posted by

      Manuel Fedriani

      Quantitative Finance Recruiter

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