Quant jobs / Eka Finance
Quant Analyst / Machine Learning Focus / Asia
Eka Finance recruits for an unnamed systematic trading team. This researcher develops ML-based signals from high-frequency, alternative and text datasets.
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.
- Engineer predictive features.
- Research ML alpha models.
- Scale training and monitor live models.
What they ask for
Required
- Python
- Statistical modelling
- Tree-based ML
- Deep learning
- NLP or LLMs
- Overfitting control
Preferred
- C++
- Education
- Quantitative master’s degree or PhD required.
- Experience
- At least five years of alpha research at a buy-side firm or investment bank.
- Languages and tools
- Markets
- equities, futures
How to prepare
- Compare tree and neural predictors.
- Validate text features without leakage.
- Track model decay after deployment.
What to study
- Financial Machine Learning
- Text as Data and NLP for Finance
- Quantitative Research, Data and Backtesting
The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Eka Finance’s site before applying: requirements, location and pay can change after we check them.
View the posting on Eka Finance’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Eka Finance and doesn’t handle applications.