Location: UAE, Dubai
Type: Full-Time - Office-based role in Dubai
Industry: Family Office
About Us
We are an international trading and research team with deep expertise in systematic trading across U.S. equities (NYSE/NASDAQ), global futures (CME, Eurex) and options. Our mission is to design, test, and deploy innovative algorithmic strategies using data science, machine learning, and artificial intelligence.
We are now looking for a Data Scientist with a strong quantitative and AI background to join our team.
Key Responsibilities
● Research, design, and implement machine learning algorithms (classification, regression, deep learning) for trading signal generation.
● Apply time series modeling, feature engineering, anomaly detection, and clustering to market data.
● Conduct backtesting, walk-forward validation, and Monte Carlo simulations for strategy robustness.
● Explore reinforcement learning (RL) methods (PPO, DQN, A3C) for adaptive trading strategies.
● Leverage LLMs (ChatGPT, Claude, Grok, etc.) for research automation and fast prototyping.
● Collaborate with Quant Researchers and Algo Traders to integrate models into Python-based frameworks.
Requirements
● Strong programming skills in Python with data science and ML libraries (NumPy, pandas, scikit-learn, PyTorch/TensorFlow).
● Solid knowledge of machine learning methods: supervised & unsupervised learning, feature selection, dimensionality reduction.
● Experience with time series forecasting and financial market data.
● Ability to work independently.
Preferred Qualifications
● Understanding of backtesting frameworks and risk-adjusted performance metrics (Sharpe, Calmar, profit factor).
● Knowledge of global markets: equities, futures, crypto.
● Experience with reinforcement learning (e.g., PPO, A3C, DDPG).
● Familiarity with LLMs and their application in trading research.
● Knowledge of market microstructure and order flow analysis.
● Exposure to cloud computing (AWS, GCP, Azure) for large-scale data processing.
● Advanced degree (MS/PhD) in Data Science, Computer Science, Applied Math, or related field.
What We Offer
● Competitive compensation based on experience and performance.
● Opportunity to have a direct impact in a small, fast-moving team.
● Opportunity to collaborate with hedge fund-level Quant Researchers.
● Path to scaling promising models into live trading strategies with capital deployment.
