Quantitative Research Analyst (Systematic Trading Strategies)

Quant Lab SFO FZCO is a Dubai-based single family office trading proprietary family capital. They combine quantitative research, AI-powered strategy development, and automated execution, built on disciplined risk control, strict position-sizing, and long-term performance. The company is family-funded since 2021, DMCC licensed and independently audited.

Effectiveness:

• Experience making material decisions based on analysis and knowing the outcomes.
• Ability to work effectively as the sole analyst with evidence of high standards.
• Disposition to treat claims of impossibility as testable propositions and exercise independent judgement.
• Ability to become effective quickly in an unfamiliar domain.
• Intellectual honesty to report findings contradicting previous positions.
• Daily, substantive use of AI coding and research tools such as Claude Code, Codex, or Copilot with established repeatable systems.

Problem Solving:

• Exceptional analytical ability to structure ambiguous problems and identify key components.
• Rigorous empirical judgement including scepticism of unusually favourable results.

Communication:

• Excellent written and spoken English ability to convey technical results to non-specialists.
• Ability to sustain and revise positions under evidence-based challenge.

Preferred:

• Three or more years in quantitative research, systematic trading, or data-intensive analytics.
• Familiarity with backtest biases such as look-ahead bias, survivorship bias, in-sample parameter selection, and unmodeled costs.
• Knowledge of equity market mechanics, especially US equity markets.
• Ability to read and modify object-oriented code e.g. C#.
• Degree in mathematics, statistics, physics, computer science, engineering, or quantitative finance.

• Develop new systematic strategies from hypothesis, data preparation, backtesting, validation to live trading.
• Design and conduct backtests, quantify divergences between simulated and live performance including execution, liquidity, and transaction-cost effects.
• Analyse trade-level data to determine sources of returns and losses.
• Quantify impact of each finding to rank competing recommendations.
• Subject conclusions to out-of-sample testing, controls for overfitting, and consideration of alternatives before presentation.
• Implement strategy logic in the trading platform, direct AI coding assistants, and monitor deployed strategies for anomalies.
• Present findings, quantified impact, risks, and recommended actions.
• Candidates located elsewhere must relocate for at least 50% of working time.

Candidates located outside Dubai must be willing to relocate for no less than 50% of working time.