Senior Financial Quantitative Analyst

Mountain America Credit Union•Sandy, UT

About The Position

The Senior Financial Quantitative Analyst leads the development of advanced quantitative models that support strategic decision-making across our banking operations. This role will be instrumental in capital planning, risk modeling, asset-liability management, and regulatory forecasting/reporting. The analyst combines their deep banking or credit union knowledge with strong quantitative skills.

Requirements

Bachelor’s degree in Finance, Mathematics, Statistics, or a related field.
6+ years of experience in quantitative analysis within banking or financial services.
Strong understanding of bank or credit union financials, regulatory capital (Basel III/IV), and liquidity frameworks (LCR, NSFR).
Strong SQL skills required, with experience in at least one analytical programming language (e.g., R or Python) to support data analysis, quantitative modeling, and decision-making.
Proficiency in Excel, VBA, and financial modeling tools
Experience with statistical modeling and scenario analysis
Ability to translate complex quantitative insights into strategic recommendations
Brings strategic business context to decisions made across groups

Nice To Haves

Master’s degree preferred.
Experience with ALM systems management (preferred: BancWare, Empyrean, ZMFS)
Familiarity with regulatory stress testing frameworks (and CECL modeling preferred but not required)
Experience working in the Workday Financial Management environment preferred
Knowledge of data visualization tools such as Power BI and Tableau
Prior involvement in securitizations, whole loan or participation sales, or structured finance preferred.
Experience working in either a Symitar or Correlation: Keystone environment preferred
Experience developing hedging strategies using derivatives such as interest rate swaps, caps, floors, and futures preferred.

Responsibilities

Design, build, and maintain sophisticated quantitative models for credit risk and loan loss modeling (e.g., CECL, PD/LGD/EAD)
Design, build, and maintain sophisticated quantitative models for feeder models that support Asset-Liability Management (ALM) and interest rate risk such as: Asset Prepayment Models, Non-Maturity Deposit Beta/Decay Models
Design, build, and maintain sophisticated quantitative models for Capital stress testing and scenario analysis
Partner with Treasury, Finance, FP&A, Credit Risk, and Accounting teams to develop and maintain quantitative models that support strategic decision-making, forecasting, stress testing, and risk management.
Support liquidity, capital, and balance sheet management through quantitative analysis, forecasting, and scenario modeling.
Develop model monitoring, back-testing, sensitivity testing, and performance measurement processes to ensure model accuracy and reliability.
Extract, validate, and analyze large datasets using SQL and at least one analytical programming language (e.g., R or Python) other analytical tools to support model development and business insights.
Provide quantitative analysis and analytical support for strategic initiatives across Treasury, Finance, Accounting, Lending, and other business units as needed.
Apply statistical and quantitative techniques to model development and validation.
Lead quantitative analysis to support pricing strategies, portfolio optimization, and risk-adjusted return metrics
Collaborate with Accounting & Treasury, 2nd and 3rd line Risk, FP&A, and Regulatory Reporting teams to align modeling assumptions and outputs
Ensure model governance, documentation, and compliance with regulatory expectations
Provides policy recommendations and best practices for model governance and critical measures
Present findings and model outputs to senior & executive leadership, board committees, and regulators
Potentially lead and mentor junior quantitative analysts as the team grows