Senior Quantitative Analyst – Investment Data & Risk

CFA Institute; Austin (TX); Híbrido; USD 110.000 - 125.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work schedule

Parking provided

Descripción de la vacante

COAERS seeks a Quantitative Analyst to apply analytical techniques, financial modeling, and data science to support investment objectives. You will analyze data, forecast outcomes, and assess risk, collaborating with leadership and external partners to drive data-driven recommendations.

The role involves portfolio analytics, research, and operational data management with opportunities to contribute to optimization initiatives. A strong foundation in Python, SQL, and MATLAB is essential.

Formación

• Bachelor's degree in relevant quantitative field.
• At least three years of experience in investment analysis or quantitative research.
• Proficiency with Python, Excel, SQL, MATLAB, or similar tools.
• Experience working with large datasets and financial databases.

Responsabilidades

• Analyze investment data and conduct statistical analyses to inform decisions.
• Develop risk models and perform portfolio risk assessment.
• Perform performance attribution and identify investment drivers.
• Build dashboards and reports communicating insights to leadership.
• Design data pipelines and validation processes for quality data.

Conocimientos

Python

SQL

Data visualization

Statistical analysis

Forecasting models

Excel

Communication

Educación

Bachelor's degree in quantitative field

Advanced degree preferred

Herramientas

MATLAB

Excel

Power BI

Descripción del empleo

COAERS seeks a Quantitative Analyst to apply analytical techniques, financial modeling, and data science to support investment objectives. You will analyze data, forecast outcomes, and assess risk, collaborating with leadership and external partners to drive data-driven recommendations.

The role involves portfolio analytics, research, and operational data management with opportunities to contribute to optimization initiatives. A strong foundation in Python, SQL, and MATLAB is essential.