Junior Quantitative Researcher - Deep Learning (Time Series)

What you’ll do as a Junior Quantitative Researcher at Akuna:

We're looking for a Junior Quantitative Researcher who will work specifically on deep learning projects involving large-scale time series data. 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
• Advance existing initiatives and explore opportunities for new research topics

Qualities that make great candidates:

• 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); C++ knowledge is a plus
• Experience handling large-scale datasets efficiently — data pipelines, batching, and training at scale (GPU experience is a plus)
• Solid foundation in math and statistics, with the ability to translate real-world, noisy, high-dimensional problems into mathematical/DL models
• Prior exposure to time series-specific challenges (non-stationarity, autocorrelation, forecasting, sequence modeling) is a strong plus
• Financial experience is not a requirement
• Willing to communicate in English at the technical interviews

Please note: If you apply to multiple roles, you may be asked to complete multiple coding challenges and interviews.