Vice President, Quantitative Engineering (AI/ML)

Location: New York, New York, United States

Salary: $191,000–$236,800 annual base salary

Company

hirify.global is a global financial services organization with an Engineering Division supporting finance, risk management, regulatory compliance, and business strategy.

What you will do

• Lead the design, development, implementation, and documentation of quantitative forecasting models and scenarios.
• Develop explainable machine learning models for event prediction, risk scoring, and uncertainty quantification.
• Execute the end-to-end model lifecycle, including data analysis, feature engineering, model selection, tuning, validation, and cloud deployment.
• Design agentic AI systems with conversational interfaces, context management, knowledge-base integration, and multi-agent orchestration.
• Conduct simulation studies, model performance testing, and theoretical validation.
• Collaborate with Finance, risk, and cross-functional stakeholders while producing dashboards, reports, and model-risk documentation.

Requirements

• PhD with 1 year, Master's with 3 years, or Bachelor's with 5 years of relevant experience in mathematics, computer science, financial engineering, applied mathematics, statistics, or a related quantitative field.
• Professional programming experience with C++, R, or Python.
• Expertise in econometrics and time-series analysis, including forecasting, structural-break analysis, and regime-switching analysis.
• Experience with Monte Carlo simulation, conformal prediction, explainable machine learning, causal model selection, and hyperparameter tuning.
• Experience deploying mathematical and statistical models in scalable, production-grade cloud environments and processing large structured and unstructured datasets.
• Experience with model validation, model-risk documentation, AI agent frameworks, context management, multi-agent orchestration, knowledge-base integration, and safe code execution.

Culture & Benefits

• Work within the Engineering Division in collaboration with Finance, risk departments, and business stakeholders.
• Contribute to regulatory compliance, internal governance reviews, and Model Risk Management processes.
• Equal opportunity employment environment.