Quant jobs / Akuna Capital
Junior Quantitative Researcher
An entry-level research role on the quant team of an options market maker, using statistics and machine learning to build trading strategies. No financial background is required.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Build strategies with statistical and machine learning models
- Develop optimisation methods for portfolio construction
- Model market behaviour from data
- Explore new research directions with the team
What they ask for
Required
- Technical degree completed by start
- Strong statistics and machine learning
- Experience building models for messy real-world problems
- Intermediate Python
- Quick, accurate problem solving
- Education
- Bachelor's, master's or PhD in a technical field; graduating by August 2027
- Experience
- New graduates; finance experience not required
- Languages and tools
- Markets
- options, multi-asset
How to prepare
- Build and validate a machine learning model on noisy time-series data
- Revise regression, regularisation and cross-validation
- Learn mean-variance and constrained portfolio optimisation
- Practise timed maths and coding problems
What to study
- Financial Machine Learning
- Probability, Statistics and Financial Data
- Linear Algebra, Optimisation and Numerical Methods
- Portfolio Theory and Quantitative Investment
- Python and Data Primer
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Akuna Capital’s site before applying: requirements, location and pay can change after we check them.
View the posting on Akuna Capital’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Akuna Capital and doesn’t handle applications.
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