Senior Financial Quantitative Analyst

To be effective, an individual must be able to perform each job duty successfully. 

• 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-Liability Management (ALM) and interest rate risk 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 lead and mentor junior quantitative analysts as the team grows 

KNOWLEDGE, SKILLS, and ABILITIES 

The requirements listed are representative of the knowledge, skills, and/or abilities required.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. 

Education and Experience 

• Bachelor’s degree in Finance, Mathematics, Statistics, or a related field. Master’s degree preferred. 

• 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 ALM systems management (preferred: BancWare, Empyrean, ZMFS) 

• Experience with statistical modeling and scenario analysis 

• Familiarity with regulatory stress testing frameworks (and CECL modeling preferred but not required) 

• Ability to translate complex quantitative insights into strategic recommendations 

• Brings strategic business context to decisions made across groups 

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 

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