Senior Algorithmic Equity Trader – Execution & TCA

Puffy; Dubai; On-site; AED 600,000 - 900,000; Full time

Job summary

Puffy is seeking a seasoned Algorithmic Equity Trader to lead design, execution, and ongoing refinement of our equity trading strategies. The role requires deep market microstructure knowledge and hands-on development of execution algorithms across global markets.

You will design and optimize VWAP/TWAP/IS/POV/MOC approaches, monitor intraday performance, and work with quant researchers, infra engineers, and compliance to maintain robust risk controls and efficient execution at scale.

Qualifications

• 5 years of experience in equity algorithmic or systematic trading.
• Strong knowledge of market microstructure, order types and venue dynamics.
• Proficiency with execution analytics and TCA frameworks.
• Hands-on coding in Python and/or C for execution logic.
• Familiarity with FIX protocol and low-latency infrastructure.
• Proven ability to manage execution during high-volatility events.

Responsibilities

• Design implement and optimize algorithmic execution strategies (VWAP TWAP IS POV MOC).
• Monitor intraday execution performance across venues and liquidity pools.
• Analyze slippage, transaction costs and market impact with real-time and post-trade TCA.
• Collaborate with quant researchers, infra engineers and compliance teams.
• Maintain risk controls and real-time fail-safes (bands, kill-switches, latency monitors).
• Contribute to market data pipeline design, routing logic and venue models.

Skills

Algorithmic trading

Market microstructure

Execution analytics

Python

C programming

Low-latency

Tools

FIX protocol

Job description

Puffy is seeking a seasoned Algorithmic Equity Trader to lead design, execution, and ongoing refinement of our equity trading strategies. The role requires deep market microstructure knowledge and hands-on development of execution algorithms across global markets.

You will design and optimize VWAP/TWAP/IS/POV/MOC approaches, monitor intraday performance, and work with quant researchers, infra engineers, and compliance to maintain robust risk controls and efficient execution at scale.