RGG Capital is a private investment office seeking disciplined professionals who value long-term thinking, analytical depth, and serious execution. If you're looking to do impactful work behind the scenes, you're in the right place. We’re building a lean, high-performance team to navigate complex global markets from our strategic base in Dubai, a city offering unmatched financial and lifestyle advantages, including a tax-free environment. We are seeking a seasoned Algorithmic Equity Trader to lead the design, execution, and continuous refinement of our equity trading strategies. The ideal candidate combines deep market microstructure expertise with hands-on experience developing execution algorithms across global equity markets. Key Responsibilities Design, implement, and optimize algorithmic execution strategies (VWAP, TWAP, IS, POV, MOC, etc.). Monitor and manage intraday execution performance across multiple venues and liquidity pools. Analyze slippage, transaction costs, and market impact using real-time and post-trade TCA. Collaborate with quant researchers, infrastructure engineers, and compliance teams. Maintain robust risk controls and real-time fail-safes (price bands, kill-switches, latency monitors). Contribute to market data pipeline design, routing logic, and venue selection models. Required Skills and Experience 5 years of experience in equity algorithmic or systematic trading. Strong knowledge of market microstructure, order types, and venue dynamics (US and/or global). Proficiency with execution analytics, TCA frameworks, and slippage decomposition. Hands-on experience coding in Python and/or C++ for execution logic and data analysis. Familiarity with FIX protocol and low-latency infrastructure. Proven ability to manage execution during high-volatility events. If your expertise and track record align with this unique leadership opportunity, we invite you to take the next step. Click "Apply" to submit your profile. Suitable candidates will be contacted for an initial confidential discussion with our CIO.