Job Title: AI Engineer

About the Role

We are seeking a highly skilled AI Engineer to join  a leading investment management firm. In this role, you will design, develop, and deploy machine learning models and AI-driven solutions to enhance trading strategies, portfolio optimization, risk management, and financial forecasting. You will work closely with quant researchers, data scientists, and software engineers to leverage AI for making data-driven investment decisions.

Key Responsibilities

• Develop and optimize machine learning models for financial market predictions, portfolio management, and risk assessment.
• Build AI-powered analytics tools and data pipelines to process large-scale financial datasets.
• Research and implement cutting-edge deep learning, NLP, and reinforcement learning techniques for investment strategies.
• Work closely with quantitative researchers and traders to integrate AI models into trading and risk systems.
• Improve model performance through feature engineering, hyperparameter tuning, and model validation.
• Ensure AI models are explainable, robust, and aligned with regulatory requirements.
• Optimize execution speed and efficiency, leveraging distributed computing and cloud infrastructure where necessary.

Required Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Mathematics, or a related field.
• Strong programming skills in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience working with financial data and applying AI/ML models in an investment or trading context.
• Familiarity with time-series forecasting, NLP, reinforcement learning, and generative AI techniques.
• Proficiency in data engineering, big data processing (Spark, Dask, Kafka), and cloud computing (AWS, GCP, Azure).
• Strong understanding of statistical modeling, probability, and optimization techniques.
• Ability to collaborate with quant researchers, portfolio managers, and technology teams.

Preferred Qualifications

• Experience working in a hedge fund, asset management, or proprietary trading firm.
• Knowledge of market microstructure, options pricing, and quantitative trading strategies.
• Familiarity with C++ or Rust for low-latency AI model execution.
• Prior experience in automated trading systems, alternative data, or AI-driven portfolio optimization.

This is an exciting opportunity to work at the intersection of AI and finance, solving real-world problems with cutting-edge technology. If you thrive in a fast-paced, intellectually challenging environment, we’d love to hear from you.