Quantitative Investment Analyst (Hybrid)

City of Maypearl; Austin (TX); Hybrid; USD 110,000 - 125,000; Full time

Benefits offered by this job

Hybrid work schedule

Parking

Job summary

COAERS is seeking a Quantitative Analyst to apply analytical, financial modeling, and data science techniques to support investment objectives and strategic decision-making. You will analyze data, develop models, and provide data-driven recommendations that improve operational and investment outcomes, collaborating with cross-functional teams and external partners.

The role requires strong Python/Excel/SQL/MATLAB proficiency, advanced statistical and forecasting skills, and experience with large

Qualifications

• Bachelor’s degree 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.”
• Proficiency with Python, Excel, SQL, MATLAB, or similar quantitative analysis tools.
• Knowledge of financial markets, securities, portfolio theory, and investment risk management.

Responsibilities

• 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.

Skills

Analytical skills

Statistical modeling

Forecasting

Education

Bachelor’s degree in finance/economics/mathematics/statistics/data science/computer science

Tools

Python

Excel

SQL

MATLAB

Job description

COAERS is seeking a Quantitative Analyst to apply analytical, financial modeling, and data science techniques to support investment objectives and strategic decision-making. You will analyze data, develop models, and provide data-driven recommendations that improve operational and investment outcomes, collaborating with cross-functional teams and external partners.

The role requires strong Python/Excel/SQL/MATLAB proficiency, advanced statistical and forecasting skills, and experience with large