Quant Researcher & Trader

Client of High Street Resources

Employer Active

Posted 5 hrs ago

Experience

5 - 10 Years

Job Location

Dubai - United Arab Emirates

Education

Any Graduation

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

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

Desired Candidate Profile

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

Company Industry

Department / Functional Area

Keywords

  • Quant Researcher & Trader

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Client of High Street Resources

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.

https://apply.workable.com/high-street-resources/j/F348D61E3F/