Quantitative Analyst Intern INVESTMENT ASSOCIATE INTERN

About the Role

The Maryland State Retirement Agency is seeking five (5) quantitative analyst interns to join their program. This is a part-time, contractual, hybrid internship that will run for approximately one year. Interns will have a hands-on opportunity to apply classroom knowledge to real-world investment operations, contributing to quantitative research and analytical projects.

Key Responsibilities

• Assist in building and enhancing data, analytics, and ML/AI infrastructure to support quantitative research, signal generation, portfolio construction, and investment decision-making.
• Implement scalable tools and workflows to improve research efficiency, reproducibility, and operational robustness.
• Partner with investment, technology, and operations teams to translate research requirements into production-ready capabilities.
• Design, develop, and maintain automated data ingestion and processing pipelines.
• Design, develop, and maintain data quality control processes.
• Stay abreast of emerging developments in machine learning, artificial intelligence, and quantitative methodologies, and evaluate their applicability.
• Develop and apply advanced statistical, machine learning, and AI techniques to datasets to identify predictive relationships and generate alpha signals.
• Research and model macroeconomic trends, market regimes, asset class returns, and risk dynamics.
• Assist in the development and enhancement of systematic forecasting frameworks.
• Evaluate model performance and continuously refine methodologies.
• Translate research findings into actionable insights to support portfolio construction, risk management, and dynamic asset allocation.
• Other projects as assigned.

Requirements & Tech Stack

• Strong independent programming skills.
• Ability to learn and understand macroeconomics, equities, fixed income, foreign exchange, commodities, and financial instruments.
• Ability to integrate quantitative research and financial market knowledge.
• Ability to explain complex technical concepts clearly to colleagues with different backgrounds.

Qualifications

Education

• Currently enrolled as a junior or senior in a four-year college or university, or as a graduate student who has completed at least one semester of graduate-level studies.
• Major must be in a quantitative field such as Mathematics, Statistics, Computer Science, Data Science, Physics, Engineering, Economics, or Finance.

Experience

• No work experience required.

Preferred Qualifications

• Experience applying modern AI methodologies to information gathering, processing, forecasting, alpha generation, portfolio construction, and investment decision-making.

Application Requirements

• A resume, most recent transcript (official or unofficial accepted), and cover letter must be submitted.