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Credit Risk Analysis Manager in Boulder, CO

Credit Risk Analysis Manager Job Description

The credit risk analysis manager should have at least five years of experience working as an analyst and advanced Excel and data analytic software skills. Firms look for candidates who have an in-depth understanding of statistics and their application and a proven ability to explain complex subjects clearly. Presentation and supervisory experience are also critical. A bachelor’s degree in finance, economics, statistics, math or a related field is required.

Typical credit risk analysis manager duties:

Analyzing and forecasting current and potential credit risksReviewing transactions to evaluate and ensure adherence with company policies and procedures and regulationsReviewing credit decisions with managers throughout the company and providing feedbackProviding subject-matter expertise on credit adjudication, policies and proceduresPreparing reports on risks, with recommendations on best practices regarding credit riskSupervising and evaluating performance of credit risk analysis staff

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Salary for Credit Risk Analysis Manager in Boulder, CO
117215 - 166005
Low
117215
The candidate is new to the role or has limited experience and is building necessary skills.
Mid
140718
The candidate has moderate experience in the role, meets most requirements or has equivalent transferable skills, and may also have relevant certifications.
High
166005
The candidate has extensive experience and advanced skills for the role, and may also have specialized certifications.
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Our starting salary projections come from a rigorous, multistep process so that our numbers accurately reflect the marketplace. They are based on actual compensation for professionals Robert Half has matched with employers across the country and third-party job posting data from Textkernel that we use to independently validate the salary levels. Starting compensation—pay for someone new to a role—can vary significantly based on a candidate’s skills, experience and certifications, as well as other factors including industry, company size and revenue, and demand for the role. To reflect this variability, we report our salary data in three levels: low, mid and high.