Public Market Analytics Senior Analyst
Requisition ID: req1412
Employment Type: Unclassified Regular Full-Time (URF)
Division: Quantitative Equity Group
Compensation: Depends on Qualifications
Job Closing: September 1, 2026 at 5:00 PM 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.
The Public
Market Analytics team within the Investment Management Division is building the
analytical foundation that helps portfolio managers, researchers, and senior
leaders make better investment decisions across Public Markets strategies. This
role is an opportunity to sit at the intersection of investments, data,
technology, and research—turning complex portfolio, benchmark, risk, and market
data into clear, actionable insights.
The Senior
Analyst will help deliver high-impact portfolio analytics, including
performance attribution, factor exposures, risk decomposition, and recurring
executive-quality reporting. The role will also contribute to the design and
scaling of modern analytics infrastructure, including automated workflows, data
pipelines, dashboards, validation processes, and reusable tools built with
technologies such as Python, SQL, and Power BI.
This is an
ideal opportunity for a quantitatively minded investment professional who
enjoys solving data-intensive problems, building production-quality analytics,
and translating technical analysis into practical portfolio insights. The
successful candidate will partner closely with portfolio managers, researchers,
and technology teams to improve data quality, enhance analytical frameworks,
and expand the team’s ability to evaluate performance, understand risk,
identify opportunities, and support better portfolio construction decisions.
WHAT YOU WILL DO:
Portfolio Analytics and Reporting
• Deliver comprehensive portfolio analytics including performance attribution (multi-level), factor exposures, risk decomposition, and benchmarking analysis across equity strategies.
• Produce consistent, high-quality recurring reports (daily, weekly, monthly) as well as ad hoc deep-dive analysis for portfolio managers and senior leadership.
• Analyze and explain drivers of performance and risk, including factor contributions, sector/country effects, and unintended exposures.
• Partner with PMs and researchers to translate analytical outputs into actionable insights that inform portfolio construction and positioning decisions.
• Ensure data integrity, accuracy, and timeliness of all analytics outputs, implementing validation checks and reconciliation processes.
• Continuously improve reporting frameworks to enhance clarity, usability, and decision relevance for stakeholders.
Data & Infrastructure
• Design, build, and maintain scalable data pipelines and ETL processes integrating multiple internal and external data sources (market data, holdings, benchmarks, risk models).
• Develop and enhance analytics tooling using Python, SQL, and Power BI to automate workflows and reduce manual processes.
• Partner with technology and data teams to improve data architecture, governance, and quality controls, ensuring consistency across platforms.
• Optimize performance of analytics processes to support large-scale data processing and timely delivery.
• Contribute to the build-out of next-generation analytics infrastructure, including standardized data models and reusable components.
• Troubleshoot data and system issues, ensuring robustness and reliability of production analytics pipelines.
Research & Insights
• Support research efforts related to factor exposures, risk models, portfolio construction, and investment strategy evaluation.
• Conduct exploratory analysis on market behavior, factor performance, and portfolio characteristics to identify risks and opportunities.
• Assist in the development and enhancement of analytical frameworks, methodologies, and tools used by Public Markets investment teams.
• Prepare clear, concise presentations and written summaries of findings tailored to both technical and non-technical audiences.
• Collaborate cross-functionally with research, PM, and technology teams to translate research outputs into production-ready analytics.
WHAT YOU WILL BRING:
Required Education
• Bachelor’s degree from an accredited college or university in quantitative discipline such as finance, economics, statistics, mathematics, financial engineering, or data science 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 analysis, financial analytics, or quantitative modeling, or related experience.
• One (1) year of full-time directly related, progressively responsible experience working with financial data, portfolio analytics, or investment-related datasets, including performance and/or risk analysis, or related experience.
• Experience may be concurrent.
• A master's degree or doctoral degree in a closely related field may be substituted on an equivalent year-for-year basis.
Required Registration, Certification, Licensure
• None
Preferred Qualifications
• Master’s degree from an accredited college or university in quantitative discipline such as finance, economics, statistics, mathematics, financial engineering, or data science or a closely related field.
• Two (2) years of full-time directly related, progressively responsible experience in a professional capacity requiring a high degree of skill in data analysis, financial analytics, or quantitative modeling, or related experience.
• Experience with programming languages such as Python, SQL, R, or similar, including experience working with large datasets and data manipulation.
• Experience developing, enhancing, or maintaining analytical reports, dashboards, or data pipelines.
• Experience with investment analytics, including performance attribution, risk decomposition, factor analysis, or portfolio exposure analysis.
• Familiarity with risk and analytics platforms (e.g., Barra, Axioma, FactSet, or similar tools).
Knowledge of:
• Statistical and analytical techniques, including performance attribution, risk decomposition, factor analysis, and portfolio analytics.
• Financial markets, investment concepts, and systematic equity strategies, including familiarity with portfolio construction, benchmarking, and risk frameworks.
• Programming and data analysis tools, including Python, SQL, and related libraries used for data manipulation, analytics, and automation.
• Data engineering concepts, including data pipelines, ETL processes, data integration, and data quality management.
• Data visualization and reporting tools (e.g., Power BI, Tableau, or similar), and principles of effective data presentation and communication.
Skills in:
• Conducting analysis of large and complex datasets, including financial and portfolio data, and synthesizing outputs into clear and actionable insights.
• Developing, maintaining, and enhancing analytical tools, reports, dashboards, and data pipelines with a high degree of accuracy and attention to detail.
• Identifying, troubleshooting, and resolving data and analytics issues, including data inconsistencies, model discrepancies, and reporting gaps.
• Planning, organizing, and prioritizing work assignments to manage multiple deliverables in a fast paced environment while maintaining high-quality output.
• Communicating complex analytical and technical concepts clearly and effectively through written reports, presentations, and discussions with both technical and non-technical stakeholders.
Ability to:
• Work collaboratively in a cross-functional environment with portfolio managers, researchers, and technology teams to support investment decision-making.
• Translate complex analytical outputs into practical insights that inform portfolio construction, risk management, and investment strategy evaluation.
• Learn and adapt quickly in a dynamic investment and data environment, including adopting new tools, technologies, and analytical methodologies.
• Manage multiple priorities and deadlines while maintaining a high level of accuracy, accountability, and attention to detail.
• Contribute to the development and scaling of analytics, reporting, and data infrastructure in a production environment.
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
[email protected]
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.