Quantitative Analyst

City of Austin Employees Retirement System; Indiana; Híbrido; USD 110.000 - 125.000; Jornada completa

Descripción de la vacante

City of Austin Employees Retirement System (COAERS) is seeking a Quantitative Analyst to apply analytical techniques, financial modeling, and data science to support investment decisions. The role involves data analysis, forecasting, risk assessment, and collaboration with cross‑functional teams to drive data‑driven recommendations and optimize outcomes.

The candidate will analyze large financial datasets, develop risk models, build dashboards, and contribute to portfolio analytics and

Formación

• Bachelor’s degree in finance, economics, mathematics, statistics, data science, computer science, or related quantitative field
• At least three years of experience in investment analysis, quantitative research, asset management, or related field
• Knowledge of financial markets, securities, portfolio theory, and investment risk management
• Advanced analytical, statistical, and forecasting modeling capabilities
• Proficiency with Python, Excel, SQL, MATLAB, or similar tools

Responsabilidades

• Analyze large and complex financial datasets for market, economic, fundamental, and alternative data sources
• Create dashboards, reports, and visualizations communicating key investment insights
• Measure portfolio risks using quantitative metrics like VaR, tracking error, beta, and drawdown
• Support portfolio construction and optimization through quantitative research and modeling
• Develop data architectures and dashboards for management and executives

Conocimientos

Data analysis

Statistical analysis

Forecasting

Communication

Team collaboration

Educación

Bachelor's degree in finance/economics/math/stats/data science/CS

Herramientas

Python

Excel

SQL

MATLAB

Descripción del empleo

Posting Date

October 22, 2026

Employment Posting

The City of Austin Employees’ Retirement System (COAERS) mission is to provide our members with their promised benefits. We are driven to be best‑in‑class, passionate about service excellence, and committed to creating a welcoming environment where everyone can excel by leveraging our skillset, experiences, and backgrounds.

Your Opportunity

Reporting to the Deputy Chief Investment Officer, the Quantitative Analyst is responsible for applying analytical techniques, financial modeling, and data science methodologies to support COAERS objectives and strategic decision‑making. This role combines data analysis, research, forecasting, and risk assessment to evaluate performance, identify trends, and support optimization initiatives. You will collaborate with cross‑functional teams, leadership, and external partners to provide insights, develop models, and facilitate data‑driven recommendations that enhance operational and investment outcomes.

Your Main Responsibilities

Investment Data Analysis

• Analyze large and complex financial datasets, including market, economic, fundamental, and alternative data sources.
• Conduct statistical analysis of historical information including market performance and investment strategies.
• Perform factor analysis and predictive modeling to evaluate investment hypotheses.
• Create dashboards, reports, and visualizations that communicate key investment insights and recommendations.
• Utilize analytical tools to automate data collection, analysis, and reporting processes.

Risk Management

• Measure portfolio risks using quantitative metrics such as volatility, Value-at-Risk (VaR), tracking error, beta, drawdown, and stress‑testing methodologies.
• Evaluate the risk‑versus‑reward profile of existing and proposed investments.
• Develop risk models and scenario analyses to assess portfolio resilience under varying market conditions.
• Collaborate on portfolio adjustments to improve risk‑adjusted returns and align with investment objectives.
• Monitor compliance with risk limits and investment guidelines.

Portfolio Analytics and Research

• Support portfolio construction and optimization through quantitative research and modeling.
• Conduct performance attribution analysis to identify drivers of investment returns.
• Identify portfolio concentrations, correlations, and other exposures that may impact portfolio performance.
• Research emerging quantitative techniques, investment factors, and market developments.
• Evaluate new data sources and analytical tools that may enhance investment decision‑making.

Operational Data Management and Insights

• Design, build, and maintain centralized databases and data warehouses by integrating business applications, cloud platforms, internal databases, and third‑party software to support organizational reporting, analytics, and decision‑making.
• Develop data architecture that integrates information from multiple internal and external systems.
• Perform advanced data analysis to identify trends, opportunities, and risks.
• Develop dashboards, reports, and interactive visualizations for management and executive leadership.
• Translate complex data and collaborate with leadership on action items.
• Establish procedures for data validation, cleansing, and quality assurance.
• Establish standards for data collection, storage, security, and governance.
• Develop, extract, transform, and load processes to consolidate data from disparate systems.
• Monitor and troubleshoot data synchronization and integration issues.
• Create key performance indicators (KPIs) and performance measurement frameworks.
• Develop documentation for databases, data processes, and reporting systems.
• Perform work as assigned with executive leadership.

Your Capabilities And Credentials

• Work with large datasets for the purpose of data analysis and interpretation.
• Conduct research into data analytics and reporting.
• Knowledge of statistical analysis, quantitative methods, data modeling, and data visualization techniques.
• Ability to use analytical tools and software to evaluate data, identify trends, assess risk, and provide data‑driven recommendations that support business decision‑making.
• Effectively prioritize and execute tasks in a high‑pressure environment.
• Well organized, with keen attention to detail.
• Advanced written and verbal communication skills, including an ability to communicate in both technical and non‑technical language.
• Contribute to positive work relationships in a team‑oriented and collaborative environment.

Education and/or Experience

Bachelor’s degree from an accredited four‑year college or university in finance, economics, mathematics, statistics, data science, computer science, or a related quantitative field. At least three years of experience in investment analysis, quantitative research, asset management, or a related field. Knowledge of financial markets, securities, portfolio theory, and investment risk management. Advanced analytical, statistical, and forecasting modeling capabilities. Proficiency with Python, Excel, SQL, MATLAB, or similar quantitative analysis tools. Experience working with large datasets and financial databases.

Preferred Qualifications

Experience in pension funds, endowments, other institutional LP or public sector environments. Advanced degree in statistics, data analytics, or similar.

Certificates, Licenses, Registrations

Valid Texas driver’s license or available alternate means of transportation. Relevant certifications in data and/or quantitative analysis. Chartered Financial Analyst (CFA) and/or Chartered Alternative Investments Analyst (CAIA) designation, or progress toward obtaining such designation, is preferred.

Travel

May require limited travel for training or conferences, as required.

Compensation And Benefits

The starting salary will be between $110,000 to $125,000 annually with the actual compensation corresponding to the experience level and credentials of the candidate within the parameters of public sector compensation. An excellent benefits package is available, including medical, dental, vision, sick and vacation leave as well as a defined benefit retirement plan, which guarantees an income for life once vested. Parking is provided.

Work Location

COAERS offers a hybrid work schedule, meaning this position will work in an office environment with opportunities to work remotely. During the initial training period (usually 3 months), the work location is in‑person Monday through Friday at 4700 Mueller Blvd, Austin TX. After the training period is successfully completed, work is hybrid with three days in‑person at 4700 Mueller Blvd, Austin TX and two days per week remote. Work location is subject to change at the supervisor’s discretion.

COAERS is an equal opportunity employer and does not discriminate in employment opportunities or practices on the basis of any characteristic protected by federal law. We are committed to a recruitment process that is accessible. If you require reasonable accommodation during the recruitment process, please indicate this in your application.