The Core Engineering-Associate, Quantitative Strategist, Core Planning and Analysis Strats (AI)

Location: New York, NY, United States; office location: New York

Base salary: $115,000–$180,000 per year, plus potential discretionary bonus.

Company

hirify.global is a financial services company hiring for its Core Engineering division.

What you will do

• Design, develop, implement, and document quantitative models and scenarios for forecasting revenues, expenses, and balance sheet items.
• Develop statistical and explainable machine learning models for event prediction and forecasting.
• Collaborate with Finance, Risk, business divisions, and other corporate departments to translate needs into model specifications, metrics, dashboards, and reports.
• Execute the full model development lifecycle, including data collection, exploratory analysis, feature engineering, model selection, tuning, validation, and cloud deployment.
• Design and engineer AI agentic systems with interactive and batch reporting capabilities, including orchestration, context management, knowledge-base integration, and tool calling.
• Conduct simulations, provide theoretical justifications, test model performance, and maintain documentation for Model Risk Management reviews and monitoring.

Requirements

• Degree in Statistics, Computer Science, Applied Mathematics, Physics, or a related quantitative field.
• Strong proficiency in Python.
• Experience through professional work or graduate research, coursework, or dissertation work with modern econometric and time-series methods, including state-space models, VAR/VECM, cointegration, Bayesian VAR, dynamic factor models, structural identification, and nonlinear or regime-switching models.
• Experience with Monte Carlo simulation and Conformal Prediction for uncertainty quantification.
• Experience with explainable machine learning, non-parametric statistical learning, principled model selection, and hyperparameter tuning.
• Experience with causal model selection and identification, treatment-effect estimation, instrumental variables, and counterfactual or what-if analysis.
• Experience implementing mathematical and statistical models in scalable, production-grade cloud environments.
• Experience designing autonomous agentic systems and multi-agent workflows using frameworks such as LangGraph, Google ADK, or AWS Bedrock AgentCore, including orchestration, state and context management, tool integration, and safe execution.

Nice to have

• PhD in a relevant quantitative field and a strong academic research background.
• Experience with or interest in Rust or C++ for performance-critical numerical code.
• Open-source contributions, publications, or other evidence of exceptional ability.

Culture & Benefits

• Competitive benefits and wellness offerings are generally available to active, non-temporary, full-time and part-time US employees working at least 20 hours per week.
• Eligible employees may receive a discretionary bonus if active at fiscal year-end.