Operations Research Analyst jobs in United Arab Emirates

About Whitebridge Capital Whitebridge Capital is a Singapore-based proprietary trading firm and institutional advisory. We operate a dual mandate: facilitating deals for Sovereign Wealth & Family Offices and deploying our own principal capital into systematic strategies across global markets.

We are selecting elite technical talent to join our Middle East Quantitative Desk. While our roots are in Singapore, we are expanding our coverage to capture opportunities across Forex, Equities, Derivatives, and Digital Assets.

This is not a theoretical research role. You will be working directly with the Principal Desk to build, test, and automate trading strategies.

Note on Capital Allocation: We do not hand out capital on day one. Proprietary funding is a privilege, not a right. It is deployed only after your strategies have been rigorously backtested, stress-tested, and proven robust under live incubation conditions.

• Multi-Asset Strategy: Develop and automate strategies across a diverse portfolio, including FX Majors, Global Indices, Commodities, and Crypto Derivatives.
• Algorithmic Execution: Convert discretionary logic (Mean Reversion, Trend Following, Statistical Arbitrage) into automated execution bots using Python, C#, or MQL5.
• Rigorous Stress-Testing: Utilize high-fidelity historical data to validate statistical edge. You must prove your strategy survives different market regimes (High Volatility, low liquidity, crashes).
• Risk Management: Build real-time risk parameters (Max Drawdown, Position Sizing, Exposure Limits) to ensure capital preservation.

• Meritocratic Funding: If your code works and survives our stress tests, we fund it. You earn a percentage of the PnL you generate.
• Uncapped Upside: Your earning potential is not limited by a salary band; it is defined by the scalability of your logic.
• Institutional Bridge: Work with a Singaporean firm that bridges the gap between Asian Liquidity and Middle Eastern Capital.

• Coding Proficiency: Strong experience in Python (Pandas/NumPy) for backtesting. Proficiency in MQL5, C#, or C++ for execution is highly valued.
• Asset Class Agnostic: You must have a functional understanding of market structure across different instruments—from Forex Spreads and Swap rates to Crypto Funding Fees and Equity Option Greeks.
• Quantitative Background: Degree in Mathematics, Computer Science, Physics, or Engineering (Targeting graduates from top-tier technical universities).

• The "Builder": You have a portfolio of trading scripts, indicators, or backtests that you have built yourself.
• The Realist: You understand that "Yield" without "Risk Management" is just gambling. You prioritize drawdown control and robustness over curve-fitted profits.
• The "Full Stack" Trader: You can handle the entire lifecycle—from idea generation and data cleaning to coding the bot and monitoring live execution.