Crypto Quant researcher
Crypto Quantitative Researcher
Location: Dubai
We are partnering with a rapidly expanding proprietary trading firm seeking a Quantitative Researcher to join its high-performing research division. This role sits within a collaborative, technology-driven environment focused on building and scaling systematic trading strategies across digital asset markets.
You will operate in a research-led setup where ideas move quickly from concept to live deployment, with clear impact on trading performance.
The Role
As a Quantitative Researcher, you will be responsible for identifying and developing data-driven trading strategies. The position spans the full research life cycle from idea generation through to implementation and optimisation working closely with trading and engineering teams.
Key Responsibilities
- Develop and refine systematic trading strategies across spot and derivatives markets
- Perform deep statistical analysis on large data sets to uncover exploitable market signals
- Build predictive models focused on pricing behaviour, volatility, and liquidity patterns
- Own the research process from hypothesis through backtesting to production deployment
- Partner with traders and engineers to translate research outputs into live systems
- Enhance research infrastructure, including data pipelines and simulation tools
- Track live performance and iterate strategies based on empirical results
Required Experience
- 3+ years in a quantitative research or systematic trading environment
- Strong academic background in a quantitative field (Mathematics, Statistics, Physics, Computer Science, etc.)
- Advanced programming skills in Python and experience with data analysis libraries
- Solid grounding in probability, statistics, and modelling techniques
- Hands-on experience with machine learning methods or time-series modelling
- Ability to approach problems analytically and communicate findings clearly
Preferred Background
- Exposure to crypto or digital asset markets
- Understanding of market micro structure or execution dynamics
- Experience working with large-scale data sets or distributed systems
- Prior experience in a trading firm, hedge fund, or research-driven organisation
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