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Open nowPosted 194 days ago

Quant Researcher & Trader

Workable (global search)108,016 open roles

Where
Dubai, United Arab Emirates
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Your applicationOpen nowQuant Researcher & TraderWorkable (global search) · Dubai, United Arab Emirates

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 194 days ago

Workable (global search) median: 7 days open

The posting

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

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