Senior Financial Quantitative Analyst

Mountain America Credit Union•Sandy, UT

5d•Onsite

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 i n 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
Familiarity with regulatory stress testing frameworks (and CECL modeling preferred but not )
Ability to translate complex quantitative insights into strategic recommendations
Brings strategic business context to decisions made across groups
Analytical Thinking & Problem Solving: Works on complex problems / projects where analysis of situations or data requires an in-depth evaluation of multiple factors
Exercises significant independent judgment within broadly defined procedures and practices to determine best method for accomplishing work and achieving objectives
Makes decisions on complex business issues

Nice To Haves

Master’s degree preferred.
Experience with ALM systems management (preferred: BancWare , Empyrean, ZMFS)
Knowledge & Skills 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.
Functional thought leader, sought after for key decisions
Leverages knowledge of trends in profession and/or specialized areas to influence strategy
Leadership and talent management skills
Strategic thinking
Problem solving skills
Verbal/written communication skills
Leadership and Organization Development
Creates a sense of urgency and accountability in delivering objectives and a culture which fosters innovation and creativity
Coaches individuals to reach full potential
Significantly participates in recruiting efforts.
Continually raises the bar
May be responsible for communicating team or department vision and goals
Oversees planning process and delegation across teams and/or departments
Go-to person in at least one major functional or technical area
Has authority over decisions for particular projects within a group
Scope and Strategic Impact
Applies specialized knowledge to implement programs and initiatives and contributes to solving problems of high complexity.
Will serve as a technical lead for our most complex, cross functional projects.
Analyzes data to summarize findings and draws conclusions about programs to project teams
Contributes to projects that impact the organization and is accountable for impact analysis of programs and initiatives
Assists with priority projects and provides for a review and recommendation on current processes and technologies that facilitate operational efficiencies
Develops relationships with key business and functional leaders
Applies advanced subject matter knowledge to complex business issues, and is regarded as a subject matter expert
Able to handle most unique situations
Develops expertise and may help set functional procedures and direction
Initiates projects for a team or approves proposed projects from teams
Identifies and institutionalizes best practices
Develops solutions to some of the company’s most challenging issues, requiring significant ingenuity
May develop long-term strategies and influence leadership decisions
Keeps abreast of industry trends and applies knowledge to MACU’s business
Functional thought leader, sought after for key decisions

Responsibilities

Design, build, and maintain sophisticated quantitative models for: Credit risk and loan loss modeling (e.g., CECL, PD/LGD/EAD)
Feeder models that support Asset- L iability M anagement (ALM) and i nterest r ate r isk such as: Asset Prepayment Models, Non-Maturity Deposit Beta/Decay Models
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 l ead and mentor junior quantitative analysts as the team grows