# Quant Researcher & Trader

**Company:** [High Street Resources](null/companies/tjwcy6X6PhKUTTSkqKLzLE.md)
**Location:** Dubai, United Arab Emirates
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](null/view/48c3358a-45d0-48fc-b92f-30dec6ee800a)

## Description

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