Junior Quantitative Researcher - Deep Learning (Time Series)

Akuna Capital is a proprietary trading firm specializing in options market making.

Chicago, USA
About Akuna Capital

Akuna Capital is a global proprietary trading firm headquartered in Chicago, with offices in London, Sydney, Shanghai, and Singapore. The firm provides liquidity as an options market maker across global financial markets, covering products including commodities, indexes, and cryptocurrencies. Akuna designs and develops its own low-latency trading systems, mathematical models, strategies, and infrastructure through its Technology, Trading, Quant, and Operations departments. It also offers an Options 101 course introducing industry fundamentals and options trading concepts.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop trading strategies with statistical and deep learning methods, design portfolio construction optimization algorithms, build quantitative models of market behavior, and advance research initiatives involving large-scale time series data. You will work with neural networks, Python, deep learning frameworks, data pipelines, and large-scale training workflows.

Requirements

  • Bachelor's, master's, or PhD in engineering, statistics, computer science, mathematics, physics, or a related technical field
  • Graduate between July 2023 and July 2027
  • Hands-on deep learning experience with neural network architectures applied to sequential or time series data
  • Strong Python programming experience with PyTorch and/or TensorFlow
  • Experience handling large-scale datasets efficiently
  • Strong foundation in mathematics and statistics
  • English communication skills for technical interviews
  • C++ knowledge is a plus
  • GPU experience is a plus
  • Prior exposure to time series challenges is a plus

Responsibilities

  • Develop trading strategies using statistical and deep learning technologies
  • Design and implement optimization algorithms for portfolio construction
  • Develop quantitative models describing market behavior
  • Advance existing initiatives and explore new research topics

Benefits

  • Happy hours
  • Free drinks and fresh fruits
  • Team events
  • Social club events