Junior Quantitative Researcher - Deep Learning (Time Series)

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

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.