About the Role
A trading firm is seeking a mid-to-senior Quant Researcher to develop and optimize systematic trading strategies across exchange-traded markets. This role focuses on extracting predictive signals from market data, improving execution logic, and contributing to production-grade algorithmic trading systems in a low-latency environment.
Key Responsibilities
Alpha & Signal Research
- Develop predictive trading signals using statistical modeling and machine learning techniques
- Conduct market microstructure research using tick-level and order-book datasets
- Design and test systematic strategies across equities, futures, or derivatives
- Analyze signal decay, feature stability, and regime sensitivity
Backtesting & Validation
- Build scalable back testing pipelines for strategy evaluation
- Perform robustness testing across multiple market regimes
- Detect overfitting risks and improve model generalization
- Evaluate transaction costs, slippage, and liquidity effects
Execution Optimization
- Improve execution logic and inventory management models
- Support enhancements to quoting strategies in electronic markets
- Collaborate with engineers to deploy production-ready signals
- Optimize latency-sensitive components where required
Cross-Team Collaboration
- Work alongside traders to refine strategy hypotheses
- Partner with engineering teams on implementation workflows
- Contribute to internal research tools and analytics frameworks
Requirements
MSc or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or related quantitative discipline
- 5–8+ years experience in quantitative research or systematic trading environments
- Strong programming skills in Python
- Working knowledge of C++ preferred
- Strong foundation in probability, statistics, optimization, and time-series modeling
- Experience working with market data at scale
Skills Required
- MSc or PhD in Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or related quantitative discipline
- 5-8+ years experience in quantitative research or systematic trading environments
- Strong programming skills in Python
- Working knowledge of C++
- Strong foundation in probability, statistics, optimization, and time-series modeling
- Experience working with market data at scale
What We Do
High Street Resources is a Dubai-based firm specializing in executive search, recruitment, and HR consulting. They focus on delivering talent management and organizational development services, particularly within the financial services sector in the Middle East. Their mission is to provide service excellence to both clients and candidates in a rapidly expanding market.
