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Junior Quantitative Researcher - Deep Learning (Time Series)

Akuna Capital
🇨🇳ShanghaiJuniorFull-timePosted September 3, 2026

About the Role

We're looking for a Junior Quantitative Researcher who will work specifically on deep learning projects involving large-scale time series data, with strong preference for candidates with hands-on DL experience over general ML/data science backgrounds. In this role you will develop trading strategies using statistical and deep learning technologies, design and implement optimization algorithms for portfolio construction, develop quantitative models describing market behavior, and advance existing initiatives while exploring opportunities for new research topics.

Requirements

  • Bachelors, Masters or PhD in a technical field – Engineering, Statistics, Computer Science, Mathematics, Physics (or a related subject), graduate(d) during Jul 2023 - Jul 2027
  • Deep learning experience is required: hands-on work with neural network architectures (e.g., RNNs, LSTMs, Transformers, TCNs, or similar) applied to sequential or time series data — through research, working projects, competitions, or internships
  • Programming skills: Strong Python programming experience, including familiarity with DL frameworks (PyTorch and/or TensorFlow)
  • Experience handling large-scale datasets efficiently — data pipelines, batching, and training at scale
  • Solid foundation in math and statistics, with the ability to translate real-world, noisy, high-dimensional problems into mathematical/DL models
  • Willing to communicate in English at the technical interviews

What You'll Get

  • Happy hours
  • Fully stacked snack room with free drinks and fresh fruits
  • Team events
  • Social club events
  • Great training with Akuna University