Senior Quantitative Investment Analyst | Hybrid

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

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