
Success in this position requires a strong grasp of modern industry standards. Candidates should be proficient in the following key areas:
To help you succeed in your application for the Senior Data Analyst - Credit Risk position, our recruitment experts recommend focusing on the following preparation steps:
Mastering SQL is key to long-term success in this field.
Continuous learning and obtaining industry certifications can significantly boost your profile.
Typically, professionals in these roles go on to take leadership positions or specialize in advanced technical architecture, especially within Preferred Credit, Inc. (PCI)'s industry segment.
PCI is hiring a Senior Data Analyst β Credit Risk to evaluate borrower creditworthiness and assess potential credit and fraud risks. This hybrid role requires working closely with cross-functional teams to analyze large datasets and develop statistical models.
Responsibilities include building dashboards using Tableau, SAS, Excel, and SQL, performing predictive modeling, and monitoring loan portfolio risk exposure. The analyst will translate insights into actionable business strategies.
Candidates must have a bachelorβs degree and at least five years of data analysis experience. Experience in financial services, Python, Hive, or R is preferred.
Submit your application directly on the official company portal for the fastest response.
Official Application Portal
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Learn more about Preferred Credit, Inc. (PCI). We are hiring for talented individuals to join our team.
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