Quantitative Research Analyst

Whitebridge Capital; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A proprietary trading firm in the UAE seeks a talented quantitative trader to develop and automate multi-asset strategies. This role demands strong coding skills, particularly in Python and MQL5, as well as a quantitative academic background. Successful candidates will have proven ability in strategy building, rigorous testing, and risk management. Join us for meritocratic funding and uncapped earning potential based on your strategies' performance.

Benefits

Meritocratic funding based on performance

Uncapped earning potential

Opportunity to work with a Singaporean firm

Qualifications

• Strong experience in Python (Pandas/NumPy) for backtesting.
• Proficiency in MQL5, C#, or C++ for execution.
• Degree from top-tier technical universities.

Responsibilities

• Develop and automate strategies across various asset classes.
• Convert discretionary logic into automated execution bots.
• Build real-time risk parameters for capital preservation.

Skills

Coding Proficiency in Python

Proficiency in MQL5

Understanding of market structure

Quantitative analysis

Education

Degree in Mathematics, Computer Science, Physics, or Engineering

Tools

Python

MQL5

C#

C++

Job description

Job Description

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.

The Mandate: Middle East Quant Desk

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.

Key Responsibilities

• 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.

Why Join Us?

• 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.

Skills

Technical Requirements

• 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).

Who We Are Looking For

• 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.