Quantitative Risk Modeling Analyst II — Data-Driven Risk Insights

Frost Bank; San Antonio (TX); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) matching

Generous holiday and paid time off

Tuition reimbursement

Employee Assistance Program

Job summary

A leading financial services provider in San Antonio seeks a Quantitative Risk Modeling Analyst II to apply data analytics to drive insights into complex business problems. The ideal candidate will hold an advanced quantitative degree and have over three years of statistical modeling experience. Excellent communication skills and proficiency in SQL, SAS, R, or Python are essential. This role offers a comprehensive benefits package and a chance to be part of a respected financial institution committed to integrity and excellence.

Qualifications

• Advanced degree required in a quantitative analytics field.
• 3+ years of experience in developing statistical or machine learning models.
• Experience with gathering and documenting requirements.

Responsibilities

• Apply data analytics to solve complex business problems.
• Pull, clean, and aggregate data from various sources.
• Collaborate with Risk Management Teams to leverage data analytics.

Skills

Advanced degree in quantitative analytics

3+ years of experience in statistical modeling

Mastery of statistics and numerical techniques

Proficient in SQL

Familiarity with SAS, R, or Python

Excellent written and verbal communication skills

Education

Ph.D. or Master's in Mathematics, Statistics, Economics, or Actuarial Science

Tools

Microsoft Excel

Microsoft Word

Microsoft PowerPoint

Job description

A leading financial services provider in San Antonio seeks a Quantitative Risk Modeling Analyst II to apply data analytics to drive insights into complex business problems. The ideal candidate will hold an advanced quantitative degree and have over three years of statistical modeling experience. Excellent communication skills and proficiency in SQL, SAS, R, or Python are essential. This role offers a comprehensive benefits package and a chance to be part of a respected financial institution committed to integrity and excellence.