Teacher Retirement System of Texas
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Quantitative Developer
role at
Teacher Retirement System of Texas Continue with Google Continue with Google 5 days ago Be among the first 25 applicants Join to apply for the
Quantitative Developer
role at
Teacher Retirement System of Texas Get AI-powered advice on this job and more exclusive features. Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Quantitative Developer
Location:
1900 Aldrich Street
Austin, Texas, 78723
United States
Quantitative Developer
Requisition ID:
req1240
Employment Type:
Unclassified Regular Full-Time (URF)
Division:
Risk and Portfolio Management
Compensation:
Depends on Qualifications
Location:
IMD
Job Closing:
9/24/2025
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.
The Quantitative Developer is responsible for partnering with quantitative researchers and portfolio managers to build, enhance, and maintain a comprehensive multi-asset strategy ecosystem encompassing ETL workflows, alpha and risk modeling, backtesting, portfolio construction, attribution, and reporting infrastructure. The incumbent will work closely with researchers to assist with developing production-quality Python code and tools that enhance research and portfolio management efficiency; manage and maintain production and development databases; assist with maintaining production and development databases; and work closely with vendors, counterparties, and data engineers to build robust pipelines for the investment process. This position will work proactively with the Multi-Asset Strategies team, the broader Risk & Portfolio Management Group and will report to the Head of Multi-Asset Strategies.
What You Will Do
Model Infrastructure Development & Implementation
Writes and refactors code to implement new and existing quantitative investment processes. Assists with building robust and scalable tools for backtesting and signal generation. Work with python APIs (including RESTful APIs) to implement ETL process. Assists with maintaining Python development and production environments. Writes unit tests and refactors legacy python repos to use modern coding standards.
Data Management
Assists with sourcing, cleaning and maintaining all data feeds from various vendors. Maintains and designs production and development databases. Builds robust pipelines for daily refresh of data used in modeling and portfolio management. Assists with overseeing data quality checks, version control, and metadata governance. Partners with counterparties and data vendors to establish and maintain data transfer protocols.
Required Education
WHAT YOU WILL BRING:
Bachelor’s degree from an accredited college or university in mathematics/statistics, computer science, physics, electrical engineering or a closely related field.
Required Experience
None (Analyst). One (1) year of full-time directly related, progressively responsible experience in software engineering, quantitative development, or related experience (Sr Analyst). Three (3) years of full-time directly related, progressively responsible experience in software engineering, quantitative development, or related experience (Associate). Experience with SQL queries and design schemas Experience with the Python data science stack, including NumPy and Pandas. Experience with version control software, including git. Experience may be concurrent. A Master’s degree in a related area may substitute for one (1) year of the required experience.
Required Registration, Certification, Licensure
None
Preferred Qualifications
Master’s degree or Doctorate degree/PhD from an accredited college or university in mathematics/statistics, computer science, physics, electrical engineering, financial engineering, economics, or a related area. Intermediate skills in the Python programming language. Experience working with data science-oriented Python libraries (Pandas, SciPy, Numpy, Scikit-Learn). Theoretical and Applied Machine Learning Expertise. Knowledge of markets or strong interest in financial markets.
Knowledge Of
Essential concepts in quantitative decision making and investment strategies. Probability, statistics, econometrics, and foundational mathematics (e.g., linear algebra, calculus). Machine learning, computer science, and software engineering principles. CI/CD pipelines and modern DevOps practices. Cloud infrastructure, orchestration tools. Financial markets, including investment concepts, portfolio management, valuation metrics, and fundamental factors.
Skill In
Manipulating large datasets and performing complex statistical or quantitative analysis. Designing and maintaining data pipelines and ETL processes. Using Python for data engineering, automation, and model deployment. Working with APIs and integrating external data sources. Maintaining software in version control systems (e.g., Git). Planning and prioritizing tasks in a fast-paced, high-volume environment.
Ability To
Solve technical problems independently and proactively. Contribute to alpha generation through innovative and collaborative solutions. Work effectively in a professional team environment, maintaining strong relationships with internal and external stakeholders. Adapt legacy systems to modern standards and continuously improve infrastructure. Manage multiple projects and deliver high-quality results under tight deadlines.
Military Occupational Specialty (MOS) Codes
Veterans, Reservists or Guardsmen with experience in the Military Occupational Specialty ( https://www.trs.texas.gov/files/trs-military-crosswalk.xlsx ) along with the minimum qualifications listed above may meet the minimum requirements and are highly encouraged to apply. Please contact Talent Acquisition at careers@trs.texas.gov with questions or for additional information.
To view all job vacancies, visit www.trs.texas.gov/careers or www.trs.csod.com/careersite .
For more information, visit www.trs.texas.gov . Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
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Quantitative Developer
role at
Teacher Retirement System of Texas Continue with Google Continue with Google 5 days ago Be among the first 25 applicants Join to apply for the
Quantitative Developer
role at
Teacher Retirement System of Texas Get AI-powered advice on this job and more exclusive features. Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Quantitative Developer
Location:
1900 Aldrich Street
Austin, Texas, 78723
United States
Quantitative Developer
Requisition ID:
req1240
Employment Type:
Unclassified Regular Full-Time (URF)
Division:
Risk and Portfolio Management
Compensation:
Depends on Qualifications
Location:
IMD
Job Closing:
9/24/2025
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.
The Quantitative Developer is responsible for partnering with quantitative researchers and portfolio managers to build, enhance, and maintain a comprehensive multi-asset strategy ecosystem encompassing ETL workflows, alpha and risk modeling, backtesting, portfolio construction, attribution, and reporting infrastructure. The incumbent will work closely with researchers to assist with developing production-quality Python code and tools that enhance research and portfolio management efficiency; manage and maintain production and development databases; assist with maintaining production and development databases; and work closely with vendors, counterparties, and data engineers to build robust pipelines for the investment process. This position will work proactively with the Multi-Asset Strategies team, the broader Risk & Portfolio Management Group and will report to the Head of Multi-Asset Strategies.
What You Will Do
Model Infrastructure Development & Implementation
Writes and refactors code to implement new and existing quantitative investment processes. Assists with building robust and scalable tools for backtesting and signal generation. Work with python APIs (including RESTful APIs) to implement ETL process. Assists with maintaining Python development and production environments. Writes unit tests and refactors legacy python repos to use modern coding standards.
Data Management
Assists with sourcing, cleaning and maintaining all data feeds from various vendors. Maintains and designs production and development databases. Builds robust pipelines for daily refresh of data used in modeling and portfolio management. Assists with overseeing data quality checks, version control, and metadata governance. Partners with counterparties and data vendors to establish and maintain data transfer protocols.
Required Education
WHAT YOU WILL BRING:
Bachelor’s degree from an accredited college or university in mathematics/statistics, computer science, physics, electrical engineering or a closely related field.
Required Experience
None (Analyst). One (1) year of full-time directly related, progressively responsible experience in software engineering, quantitative development, or related experience (Sr Analyst). Three (3) years of full-time directly related, progressively responsible experience in software engineering, quantitative development, or related experience (Associate). Experience with SQL queries and design schemas Experience with the Python data science stack, including NumPy and Pandas. Experience with version control software, including git. Experience may be concurrent. A Master’s degree in a related area may substitute for one (1) year of the required experience.
Required Registration, Certification, Licensure
None
Preferred Qualifications
Master’s degree or Doctorate degree/PhD from an accredited college or university in mathematics/statistics, computer science, physics, electrical engineering, financial engineering, economics, or a related area. Intermediate skills in the Python programming language. Experience working with data science-oriented Python libraries (Pandas, SciPy, Numpy, Scikit-Learn). Theoretical and Applied Machine Learning Expertise. Knowledge of markets or strong interest in financial markets.
Knowledge Of
Essential concepts in quantitative decision making and investment strategies. Probability, statistics, econometrics, and foundational mathematics (e.g., linear algebra, calculus). Machine learning, computer science, and software engineering principles. CI/CD pipelines and modern DevOps practices. Cloud infrastructure, orchestration tools. Financial markets, including investment concepts, portfolio management, valuation metrics, and fundamental factors.
Skill In
Manipulating large datasets and performing complex statistical or quantitative analysis. Designing and maintaining data pipelines and ETL processes. Using Python for data engineering, automation, and model deployment. Working with APIs and integrating external data sources. Maintaining software in version control systems (e.g., Git). Planning and prioritizing tasks in a fast-paced, high-volume environment.
Ability To
Solve technical problems independently and proactively. Contribute to alpha generation through innovative and collaborative solutions. Work effectively in a professional team environment, maintaining strong relationships with internal and external stakeholders. Adapt legacy systems to modern standards and continuously improve infrastructure. Manage multiple projects and deliver high-quality results under tight deadlines.
Military Occupational Specialty (MOS) Codes
Veterans, Reservists or Guardsmen with experience in the Military Occupational Specialty ( https://www.trs.texas.gov/files/trs-military-crosswalk.xlsx ) along with the minimum qualifications listed above may meet the minimum requirements and are highly encouraged to apply. Please contact Talent Acquisition at careers@trs.texas.gov with questions or for additional information.
To view all job vacancies, visit www.trs.texas.gov/careers or www.trs.csod.com/careersite .
For more information, visit www.trs.texas.gov . Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Finance and Sales Industries Government Administration Referrals increase your chances of interviewing at Teacher Retirement System of Texas by 2x Continue with Google Continue with Google Austin, Texas Metropolitan Area $500,000 - $1,000,000 2 days ago Quantitative Researcher – HFT Futures/Equities
Crypto Quantitative Analyst (Global- Remote - Non.US)
Austin, TX $123,500.00 - $212,850.00 4 days ago Austin, TX $123,500.00 - $212,850.00 4 days ago Austin, TX $123,500.00 - $212,850.00 4 days ago Data Scientist – Machine Learning & Geospatial Analytics
Senior Full Stack Data Scientist Intern (June 2025 Start)
Austin, TX $100,000.00 - $150,000.00 2 days ago Austin, TX $114,000.00 - $171,000.00 1 week ago Austin, TX $123,500.00 - $212,850.00 4 days ago Data Scientist – AI Application (contract)
Austin, TX $116,000.00 - $145,000.00 5 days ago Austin, TX $206,000.00 - $281,000.00 3 days ago Austin, TX $123,500.00 - $212,850.00 2 months ago Austin, TX $123,500.00 - $212,850.00 2 weeks ago Austin, TX $141,000 - $202,000 2 weeks ago Austin, TX $123,500 - $212,850 2 weeks ago Applied Sr Data Scientist - Fintech Foundation
Senior Business Data Scientist, Global Affairs
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr