Multi-Asset Strategies Researcher (Senior Analyst or Associate)

Teacher Retirement System of Texas; Austin (TX); On-site; USD 110,000 - 180,000; Full time

Job summary

Teacher Retirement System of Texas is seeking a Senior Analyst/Associate to advance quantitative research for multi-asset portfolios in Austin. You will develop alpha signals, manage risks, and build tools to access and analyze data at scale.

You will collaborate with portfolio managers and engineers, integrating LLMs into research workflows and presenting findings to senior leadership. This role emphasizes rigorous testing and robust documentation.

Qualifications

• Experience in quantitative research to improve alpha signals, risk management and portfolio construction across multi-asset strategies.
• Ability to design and execute the full research lifecycle from hypothesis to robustness testing and sizing recommendations.
• Evaluate external/academic research for internal adoption and generate novel ideas for strategy expansion.

Responsibilities

• Conduct quantitative research to develop and enhance alpha signals, portfolio construction, and risk management across the Alternative Risk Premia and Risk Parity portfolios.
• Assist in design and execution; design and execute the full research lifecycle from hypothesis through robustness testing and sizing recommendation.
• Evaluate external and academic research for internal application and generate novel ideas that broaden the strategy and signal set.
• Produce high-quality research documentation explaining theory and empirical results.
• Present and defend findings to portfolio management, the MAS Investment Committee, and senior management.
• Integrate large language models (LLMs) into the quantitative investment research process.
• Assists/Builds Python-based tools and workflows to access, clean, and analyze data at scale.
• Partner with portfolio managers and quant developers to deliver end-to-end research and production improvements.
• Contributes to the shared multi-asset data system, backtesting framework, and portfolio construction tools.
• Apply modern engineering standards including version control, unit testing, code review, and documentation.
• Support daily and periodic model runs, rebalances, and data quality checks.
• Build and maintain risk, exposure, and performance monitoring for assigned strategies.
• Investigate and resolve data and model exceptions.
• Provide backup coverage for critical production processes.

Skills

Quantitative research

Python / data analysis

Presentation to stakeholders

LLM integration

Tools

Python

Backtesting framework

Job description

Multi-Asset Strategies Researcher (Senior Analyst or Associate)

Requisition ID: req1474
Employment Type: Unclassified Regular Full-Time (URF)
Division: RPM Multi Asset Strategies
Compensation: Depends on Qualification
Job Closing: 11/30/2026 at 11:59 CST
Location: TRS Headquarters Building 2
1900 Aldrich Street
Austin, Texas, 78723
United States

WHO WE ARE:

With the Investment Management Division (IMD) you will be joining a diverse group of achievers who celebrate the unique value individuals bring to support our shared cause: earning trust and contributing to the financial future of 2 million public education employees and retirees throughout Texas.

Navigating the current market environment takes innovation and we’re passionate about stewarding the right investments to make an impact both in the lives of our members and all Texans. We invite you to partner with the best financial minds in the business to manage a global portfolio of over $200 billion in public and private investments. Our success starts with you.

WHAT WILL YOU DO:

Research

• Conducts quantitative research to develop and enhance alpha signals, portfolio construction, and risk management across the Alternative Risk Premia and Risk Parity portfolios.
• Assists in the design and execution /Designs and executes the full research lifecycle from hypothesis through robustness testing and sizing recommendation.
• Evaluates external and academic research for internal application and generate novel ideas that broaden the strategy and signal set.
• Produces high-quality research documentation explaining theory and empirical results.
• Presents and defends findings to portfolio management, the MAS Investment Committee, and senior management.
• Integrates large language models (LLMs) into the quantitative investment research process.

Implementation

• Assits/Builds Python-based tools and workflows to access, clean, and analyze data at scale.
• Partners with portfolio managers and quant developers to deliver end-to-end research and production improvements.
• Contributes to the shared multi-asset data system, backtesting framework, and portfolio construction tools.
• Applies modern engineering standards including version control, unit testing, code review, and documentation.

Portfolio Management

• Support daily and periodic model runs, rebalances, and data quality checks.
• Build and maintain risk, exposure, and performance monitoring for assigned strategies.
• Investigate and resolve data and model exceptions.
• Provide backup coverage for critical production processes.