Junior Quantitative Researcher - Deep Learning (Time Series)
Akuna Capital · Shanghai, China
Posted 13 days ago
or apply directly on Akuna Capital's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Akuna Capital's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Akuna Capital's roles list one
- Ghost-job risk at Akuna Capital
- high 28 stale, 1 reposted of 38 open
- Hiring momentum
- 45 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Akuna Capital's own greenhouse board since 2026-08-03. Full hiring picture for Akuna Capital.
About this role
As a Junior Quantitative Researcher at Akuna, you will focus on developing trading strategies using deep learning techniques applied to large-scale time series data. Your responsibilities will include designing optimization algorithms for portfolio construction and creating quantitative models to describe market behavior. You will also have the opportunity to advance existing research initiatives and explore new topics in the field.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Akuna Capital as an employer.
What you need
- Bachelors, Masters or PhD in a technical field (Engineering, Statistics, Computer Science, Mathematics, Physics, or related) graduated between Jul 2023 - Jul 2027
- Deep learning experience with neural network architectures (RNNs, LSTMs, Transformers, TCNs) applied to time series data
- Strong Python programming experience, familiarity with DL frameworks (PyTorch and/or TensorFlow)
- Experience handling large-scale datasets efficiently
- Solid foundation in math and statistics
- Willingness to communicate in English at technical interviews
Nice to have
- C++ knowledge
- Prior exposure to time series-specific challenges (non-stationarity, autocorrelation, forecasting, sequence modeling)
- Financial experience
What you get
- Work with the latest hardware and software technologies
- Free drinks and fresh fruits in the snack room
- Team events and social club events
- Training opportunities with Akuna University
Worth weighing
- No salary listed
- Strong preference for candidates with hands-on deep learning experience over general ML/data science backgrounds
- Candidates may need to complete multiple coding challenges and interviews if applying to multiple roles
Summarised from Akuna Capital's posting. Read the full original.
Listed by Akuna Capital on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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