Senior Quantitative Analyst, Banking Risk & ALM Modeling

Mountain America Credit Union; Sandy (UT); On-site; USD 120,000 - 170,000; Full time

Job summary

Mountain America Credit Union is seeking a Senior Financial Quantitative Analyst to lead the development of advanced models for capital planning, risk forecasting, and liquidity management. You will apply statistical methods and work with Treasury, Finance, and Risk teams to drive strategic decisions.

The role requires 6+ years in quantitative analysis in banking or financial services, strong SQL and at least one language (R or Python), and the ability to present findings to senior leadership

Qualifications

• BA/BS in Finance, Math or Statistics required.
• 6+ years of quantitative analysis in banking or financial services.
• Strong knowledge of Basel capital and liquidity frameworks.
• Proficiency with SQL and at least one language (R or Python).
• Excel, VBA, and financial modeling tools.

Responsibilities

• Design, build, and maintain advanced quantitative models for credit risk and ALM.
• Support capital planning, liquidity, and risk forecasting through scenario analyses.
• Collaborate with Treasury, Finance, and Risk teams to align modeling outputs.
• Develop model monitoring, back-testing, and sensitivity analyses.
• Extract and analyze large datasets using SQL and R or Python.
• Present findings to senior leadership and regulators.

Skills

Quantitative analysis

Data analysis

Statistical modeling

Leadership

Problem solving

Education

Bachelor’s degree in Finance/Mathematics/Statistics

Master’s degree preferred

Tools

SQL

R

Python

Excel

VBA

Job description

Mountain America Credit Union is seeking a Senior Financial Quantitative Analyst to lead the development of advanced models for capital planning, risk forecasting, and liquidity management. You will apply statistical methods and work with Treasury, Finance, and Risk teams to drive strategic decisions.

The role requires 6+ years in quantitative analysis in banking or financial services, strong SQL and at least one language (R or Python), and the ability to present findings to senior leadership