A prominent financial institution in San Antonio seeks a Quantitative Risk Modeling Analyst II to analyze complex business data to inform decisions. This role requires advanced expertise in statistics and machine learning, as well as significant experience presenting analytical results. Ideal candidates will hold a Ph.D. or Master’s in a quantitative field and exhibit strong SQL and programming skills. The company fosters a collaborative environment with a commitment to integrity and excellence, offering competitive benefits including medical insurance, a 401(k) match, and generous paid time off.
Qualifications
3+ years of experience developing statistical or machine learning models.
Experience gathering and documenting requirements.
Experience writing detailed model documentation.
Responsibilities
Apply data analytics to solve complex business problems.
Pull, clean, and aggregate data from bank sources.
Ensure compliance with State and Federal Laws and Regulations.
Skills
Statistics and numerical techniques
SQL
SAS
R
Python
Excellent written communication
Excellent verbal communication
Education
Ph.D. or Master’s degree in quantitative analytics field
Tools
Microsoft Excel
Microsoft Word
Microsoft Power Point
Job description
A prominent financial institution in San Antonio seeks a Quantitative Risk Modeling Analyst II to analyze complex business data to inform decisions. This role requires advanced expertise in statistics and machine learning, as well as significant experience presenting analytical results. Ideal candidates will hold a Ph.D. or Master’s in a quantitative field and exhibit strong SQL and programming skills. The company fosters a collaborative environment with a commitment to integrity and excellence, offering competitive benefits including medical insurance, a 401(k) match, and generous paid time off.