Quantitative Portfolio Management Senior Analyst - Associate

Teacher Retirement System of Texas•Austin, TX

50d

About The Position

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. The Quantitative Portfolio Management Senior Analyst - Associate is responsible for the design, implementation, and management of the systematic equity investment strategies within the IMD. The incumbent will operate and enhance production investment systems, while also contributing to the evolution of our alpha, risk, and implementation frameworks. This position proactively works with senior portfolio managers, researchers, and technologists. This position reports to the Head of Quantitative Portfolio Management.

Requirements

Bachelor's degree from an accredited four-year college or university with major course work in mathematics, statistics, computer science, financial engineering, economics, or a closely related field.
One (1) year of full-time directly related, progressively responsible experience in a professional capacity requiring a high degree of skill in data modeling and inference or related experience (Senior Analyst).
One (1) year of full-time directly related, progressively responsible experience working with Python or related experience (Senior Analyst).
Three (3) years of full-time directly related, progressively responsible experience in a professional capacity requiring a high degree of skill in data modeling and inference or related experience (Associate).
Three (3) years of full-time directly related, progressively responsible experience working with Python or related experience (Associate).
Experience may be concurrent.
Master's degree in a related field may substitute for one year of the required investment experience.
A Doctorate degree/PhD in computer science, engineering, finance, mathematics/statistics, physical sciences, or a related area may substitute for five (5) years of the required experience.
Statistics/Econometrics, Computer Science/Machine Learning, and advanced mathematical foundations (Linear Algebra, Calculus, Probability).
Quantitative code development with fluency in Python or a related programming language, version control and collaboration tools (GitHub).
Investment concepts, terminology, styles, models, strategies, and fundamental investment factors.
Conducting data searches and evaluations of large amounts of information, performing complex statistical analysis of the data, and preparing concise and accurate reports and written/oral recommendations.
Planning, organizing, and prioritizing work assignments to manage a high-volume workload in a fast-paced and changing environment and complete detailed work with a high degree of accuracy.
Verbal and written communication of complex information that is accurate, timely, and based on sound judgment.
Work collaboratively in an applied quantitative investment research environment.
Drive quantitative investment research projects through to completion under supervision of senior investment professionals.

Nice To Haves

Full-time directly related, progressively responsible experience in financial markets, quantitative investing, and fundamental investing (or strong interest in the aforementioned).
Master's degree or Doctorate degree/PhD in economics, statistics, mathematics, computer science, engineering, financial engineering, or a related field.

Responsibilities

Constructs portfolios, generates trade orders, and manages execution across multiple regional equity strategies, ensuring accuracy, efficiency, and alignment with investment objectives.
Contributes to daily portfolio management activities by tracking position-level exposures, assessing risk metrics, and conducting performance attribution analyses.
Gains deep fluency in the structure and logic of the team's Pythonbased production codebase.
Maintains, debugs, and enhances the codebase to support evolving investment and operational needs.
Collaborates with technologists to ensure robustness, scalability, and transparency of production systems.
Maintains a high level of awareness of market dynamics, liquidity conditions, and macroeconomic developments.
Translates market insights into actionable decisions and risk-aware portfolio adjustments.
Performs cutting edge research to improve the existing process across alpha generation, signal integration, risk modeling, portfolio construction, transaction cost analysis, and implementation.
Develops Python-based algorithms and interfaces with relational and NoSQL databases to access and analyze data.
Presents and defends research findings to senior portfolio managers and leadership.
Collaborates with researchers and software engineers to bring projects to completion.
Performs related work as assigned.