Associate Quantitative Strategist (AI)

TL;DR

Associate Quantitative Strategist (AI): Designing and implementing advanced quantitative models for budget planning and financial forecasting with an accent on time-series analysis, econometrics, and uncertainty quantification. Focus on engineering autonomous AI agents to automate complex analytical workflows and decision support systems in a scalable cloud environment.

Location: New York, NY, United States

Salary: $115,000–$180,000

Company

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

What you will do

• Design and implement quantitative models for forecasting revenues, expenses, and balance sheet dynamics.
• Develop and deploy explainable machine learning models for event prediction and strategic decision support.
• Engineer autonomous AI agentic systems for automated reporting and data science capabilities.
• Collaborate with cross-functional stakeholders in Finance and Risk to translate business needs into analytical metrics.
• Execute the full model development lifecycle from data collection to production-grade cloud deployment.
• Conduct simulation studies and maintain technical documentation for model risk management reviews.

Requirements

• Must be based in New York, NY
• PhD in Statistics, Computer Science, Applied Mathematics, Physics, or a related quantitative field is highly preferred.
• Strong proficiency in Python.
• Deep expertise in modern econometric and time-series methods.
• Experience with Monte Carlo simulation and uncertainty quantification.
• Knowledge of causal inference and explainable machine learning techniques.

Nice to have

• Experience with Rust or C++ for performance-critical numerical computing.
• Contributions to open-source projects or academic publications.
• Experience with AI agent frameworks such as LangGraph, Google ADK, or AWS Bedrock.

Culture & Benefits

• Opportunity to apply advanced research to real-world financial challenges.
• Exposure to high-impact corporate strategy and senior leadership.
• Work within a strategic team focused on cutting-edge AI and performance-critical computing.
• Access to professional development and collaborative cross-functional environments.