Обязанности:
Location: UAE, Dubai Type: Full-Time - Office-based role in Dubai Industry: Family Office About UsWe 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.Похожие вакансии