Associate, Quantitative Engineering (AI)

TL;DR

Associate, Quantitative Engineering (AI): Deploying AI-based quantitative technologies to drive revenue generation and innovation with an accent on Time Series Forecasting, Market making, and Pricing. Focus on designing, training, and deploying scalable AI models to solve complex challenges at the intersection of Quantitative Finance and AI.

Location: New York, NY, United States

Salary: $113,000 - $155,600

Company

A leading global investment banking, securities, and investment management firm.

What you will do

• Deploy AI-based quantitative technologies to drive revenue generation and innovation within the firm.
• Integrate artificial intelligence with quantitative finance in areas such as Time Series Forecasting, Market making, and Pricing.
• Design, train, and deploy scalable AI models to drive commercial outcomes.
• Conduct experiments and analysis to enhance model performance.
• Develop, test, and maintain high-quality, production-ready code.
• Collaborate with various teams to advance the production of machine learning systems.

Requirements

• Master's degree + 1 year of experience OR Bachelor's degree + 3 years of experience in Computer Science, Financial Engineering, Applied Mathematics, or a related quantitative field.
• Proven experience in an Artificial Intelligence (AI) Quantitative role.
• Proficiency in C++, Java, or Python programming languages.
• Strong knowledge of data structures, algorithms, and software engineering practices.
• Experience with Machine Learning, Deep Learning, Large Language Models (LLMs), and Time Series Forecasting.
• Expertise in ML libraries (TensorFlow, PyTorch, scikit-learn, Keras) and MLOps tools (Kubeflow, MLflow) in production.
• Knowledge of financial markets, market making, or asset pricing.