The role offers meaningful end-to-end model ownership from data assembly and quantitative analysis through model documentation, validation challenge, and stakeholder communication making it an ideal fit for a quantitatively strong analyst who combines solid credit risk modeling expertise with strong programming skills and a collaborative, intellectually curious approach to problem-solving. This Senior Quantitative Analyst opportunity sits within the Model and Allowance Analysis team of a well-established commercial bank, focused on the development, implementation, and ongoing monitoring of credit risk models supporting CECL and stress testing frameworks.
This Senior Quantitative Analyst opportunity sits within the Model and Allowance Analysis team of a well-established commercial bank, focused on the development, implementation, and ongoing monitoring of credit risk models supporting CECL and stress testing frameworks. The role offers meaningful end-to-end model ownership from data assembly and quantitative analysis through model documentation, validation challenge, and stakeholder communication making it an ideal fit for a quantitatively strong analyst who combines solid credit risk modeling expertise with strong programming skills and a collaborative, intellectually curious approach to problem-solving.
RESPONSIBILITIES
Participate in the full lifecycle development and implementation of credit risk models for CECL purposes including development, testing, documentation, implementation, monitoring, and stakeholder communication
Assemble, compile, and analyze data from source systems;identify and resolve data errors and inconsistencies
Conduct quantitative analysis across key business areas and specific model types including credit risk, financial risk, and stress testing applications
Perform independent research to effectively challenge model conceptual soundness, underlying assumptions, and appropriateness of methodology
Collaborate with business groups to ensure quantitative models address business concerns and operational requirements
Provide clear written and verbal communication of research findings and analytical results to internal and external stakeholders
Support ad hoc data analyses and other quantitative projects as assigned