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Not Specified Permanent

McLean, Virginia · USA job

Credit Risk Analyst

Guidehouse

McLean, Virginia

Job description

Overview

In this role you drive analytical support for lender oversight, risk monitoring, and portfolio analytics within a government-facing consulting context. You will leverage data, econometric and risk modeling techniques to build and operate analytics infrastructure and reporting. You will collaborate with cross-functional teams to deliver insights through dashboards, reports, and documentation that support leadership decisions. This position offers the chance to influence credit analytics practice in a federal environment with substantial data and modeling work.

Compensation / Benefits
  • Medical, Rx, Dental & Vision insurance
  • Paid holidays
  • Discretionary bonus
  • 401(k) retirement plan
  • Student loan paydown
  • Tuition reimbursement
Responsibilities
  • Support lender oversight, risk monitoring, and portfolio analytics efforts
  • Develop and maintain analytics infrastructure (EDW, predictive scoring, Tableau dashboards) and deliver risk analytics and lender performance reporting
  • Produce ad hoc and periodic client reporting and document data sources, methodologies, and quality checks
  • Ingest, clean, test, and combine data from multiple systems; assess data quality and summarize statistical findings in written products
Key requirements
  • Bachelor's degree in business, finance, economics, mathematics, statistics or related field
  • 3-5 years of experience in financial data analysis or financial services consulting
  • Ability to obtain and maintain Federal or DoD Public Trust (active preferred); US citizenship required
  • Experience developing statistical, econometric, or cash flow models in credit analytics; ability to explain outputs concisely
  • Willingness to work onsite in Washington, DC at least 3 days per week
  • strong written and verbal communication
  • ability to work in a team with varying skill levels
  • ability to handle multiple tasks under tight deadlines
  • R, Python or MATLAB
  • OLS, logistic regression, survival models
  • experience with Tableau, AWS or cloud-based analytics

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