Senior Multi-Asset Researcher: Alpha Signals & AI Tools

Teacher Retirement System of Texas; Austin (TX); Sur place; USD 110 000 - 180 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Quantitative research

Python / data analysis

Presentation to stakeholders

LLM integration

Outils

Python

Backtesting framework

Description du poste

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.