Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.
Responsibilities:
Collaborate with technology teams, business stakeholders, and model developers to resolve issues and support model-related initiatives.
Use SQL and SAS for data analysis, validation, reconciliation, and model assessments.
Review model performance dashboards, identify data discrepancies, and coordinate corrective actions.
Support troubleshooting, remediation, and redesign of existing modeling frameworks to improve accuracy and efficiency.
Understand model logic, assumptions, and outputs to facilitate discussions and drive improvements.
Experience & Qualifications:
Hands-on experience with SQL and SAS for data analysis and validation.
Experience in model performance monitoring, model validation, data reconciliation, or model remediation.
Ability to review dashboards, identify data quality issues, and perform root-cause analysis.
Working knowledge of model logic, assumptions, and outputs.
Strong analytical, problem-solving, and cross-functional communication skills. xxzpjkt
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Numbers & Facts
Location
Phoenix, AZ
Skills
Analysis Skillsunmatched
Business Modelunmatched
Communication Skillsunmatched
Corrective Actionunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Modelingunmatched
Data Qualityunmatched
Identify Issuesunmatched
Model Reviewunmatched
Model Validationunmatched
Performance Analysisunmatched
Performance Modelingunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Reconciliationunmatched
Reporting Dashboardsunmatched
Risk Modelingunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Statistical Analysis System (SAS)unmatched
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