Teacher Retirement System of Texas
Quantitative Portfolio Management Senior Analyst - Associate
Teacher Retirement System of Texas, Austin, Texas, us, 78716
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Quantitative Portfolio Management Senior Analyst – Associate
role at
Teacher Retirement System of Texas .
The Quantitative Equity Group (QEG) Portfolio Management team is responsible for the design, implementation, and management of the systematic equity investment strategies within the IMD. We are seeking an Associate Quantitative Portfolio Manager with strong research, programming, and finance foundations to contribute across the full spectrum of the investment process—from trade generation and execution to portfolio construction and infrastructure development.
This is a hands‑on, cross‑functional role requiring a deep understanding of advanced statistics and strong programming skills in Python. Expertise or strong interest in quantitative and fundamental investing is a plus. The successful candidate will work closely with senior portfolio managers, researchers, and technologists to operate and enhance production investment systems, while also contributing to the evolution of our alpha, risk, and implementation frameworks. This position reports to the Head of Quantitative Portfolio Management.
What you will do:
Construct portfolios, generate trade orders, and manage execution across multiple regional equity strategies, ensuring accuracy, efficiency, and alignment with investment objectives.
Contribute to daily portfolio management activities by tracking position‑level exposures, assessing risk metrics, and conducting performance attribution analyses.
Gain deep fluency in the structure and logic of the team’s Python‑based production codebase.
Maintain, debug, and enhance the codebase to support evolving investment and operational needs.
Collaborate with technologists to ensure robustness, scalability, and transparency of production systems.
Maintain a high level of awareness of market dynamics, liquidity conditions, and macroeconomic developments.
Translate market insights into actionable decisions and risk‑aware portfolio adjustments.
Research & Development:
Perform cutting‑edge research to improve the existing process across alpha generation, signal integration, risk modeling, portfolio construction, transaction cost analysis, and implementation.
Develop Python‑based algorithms and interface with relational and NoSQL databases to access and analyze data.
Present and defend research findings to senior portfolio managers and leadership.
Collaborate with researchers and software engineers to bring projects to completion.
Perform related work as assigned.
What you will bring: Required Education
Bachelor’s degree from an accredited four‑year college or university with major coursework in mathematics, statistics, computer science, financial engineering, economics, or a closely related field.
Required Experience
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.
Preferred Qualifications
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.
Knowledge of: 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.
Skills
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.
Abilities
Work collaboratively in an applied quantitative investment research environment.
Drive quantitative investment research projects through to completion under supervision of senior investment professionals.
Seniority level Associate
Employment type Full‑time
Job function Finance
Industries Pension Funds
Location: Austin, TX.
Compensation: $140,000 – $160,000.
Referrals increase your chances of interviewing at Teacher Retirement System of Texas by 2x.
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Quantitative Portfolio Management Senior Analyst – Associate
role at
Teacher Retirement System of Texas .
The Quantitative Equity Group (QEG) Portfolio Management team is responsible for the design, implementation, and management of the systematic equity investment strategies within the IMD. We are seeking an Associate Quantitative Portfolio Manager with strong research, programming, and finance foundations to contribute across the full spectrum of the investment process—from trade generation and execution to portfolio construction and infrastructure development.
This is a hands‑on, cross‑functional role requiring a deep understanding of advanced statistics and strong programming skills in Python. Expertise or strong interest in quantitative and fundamental investing is a plus. The successful candidate will work closely with senior portfolio managers, researchers, and technologists to operate and enhance production investment systems, while also contributing to the evolution of our alpha, risk, and implementation frameworks. This position reports to the Head of Quantitative Portfolio Management.
What you will do:
Construct portfolios, generate trade orders, and manage execution across multiple regional equity strategies, ensuring accuracy, efficiency, and alignment with investment objectives.
Contribute to daily portfolio management activities by tracking position‑level exposures, assessing risk metrics, and conducting performance attribution analyses.
Gain deep fluency in the structure and logic of the team’s Python‑based production codebase.
Maintain, debug, and enhance the codebase to support evolving investment and operational needs.
Collaborate with technologists to ensure robustness, scalability, and transparency of production systems.
Maintain a high level of awareness of market dynamics, liquidity conditions, and macroeconomic developments.
Translate market insights into actionable decisions and risk‑aware portfolio adjustments.
Research & Development:
Perform cutting‑edge research to improve the existing process across alpha generation, signal integration, risk modeling, portfolio construction, transaction cost analysis, and implementation.
Develop Python‑based algorithms and interface with relational and NoSQL databases to access and analyze data.
Present and defend research findings to senior portfolio managers and leadership.
Collaborate with researchers and software engineers to bring projects to completion.
Perform related work as assigned.
What you will bring: Required Education
Bachelor’s degree from an accredited four‑year college or university with major coursework in mathematics, statistics, computer science, financial engineering, economics, or a closely related field.
Required Experience
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.
Preferred Qualifications
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.
Knowledge of: 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.
Skills
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.
Abilities
Work collaboratively in an applied quantitative investment research environment.
Drive quantitative investment research projects through to completion under supervision of senior investment professionals.
Seniority level Associate
Employment type Full‑time
Job function Finance
Industries Pension Funds
Location: Austin, TX.
Compensation: $140,000 – $160,000.
Referrals increase your chances of interviewing at Teacher Retirement System of Texas by 2x.
#J-18808-Ljbffr