Credit Risk Strategy & Analytics Lead

Alliant Credit Union

Chicago (IL)

Hybrid

USD 84,200 - 131,000

Full time

14 days+

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Benefits offered by this job

Annual performance bonus

Work from home up to 3 days a week

Paid parental leave

Employee discount programs

Time off including paid personal and s

11 paid holidays

Education reimbursement

Job summary

Alliant Credit Union in Chicago is seeking a hybrid Credit Risk Analyst to develop and review credit policies and strategies, and to build data and analytical frameworks for loan origination and loss forecasting.

You will review data to identify factors driving credit risk for consumer and mortgage loans, evaluate scoring solutions, and work with cross-functional teams to prepare underwriting presentations and regulatory responses.

Qualifications

Minimum 4-year Bachelor's degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or related.
Graduate degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related preferred.
Minimum 3 Years Experience in credit risk analytics within financial services.
In lieu of education, 5 Years Experience in credit risk analytics within financial services.

Responsibilities

Analyze origination risk factors and recommend/implement improvements in underwriting criteria, lending policies and standards, and loan product pricing.
Review and monitor credit risk for credit cards, and recommend/implement line management, pricing and authorization strategies.
Prepare data for third-party quarterly mortgage & consumer loan portfolio performance analysis.
Provide support and rule recommendations for loan origination system implementation and maintenance.
Provide data and analytics support to assess risk with respect to future new and enhanced lending products as well as potential loan trading transactions.
Assess analytics including but not limited to economic capital analysis, credit loss modeling and mitigation, CECL implementation.
Query the data warehouse and other databases with tools such as SAP Business Objects / Microsoft SQL Server Management Studio to extract, summarize, and save relevant data.
Drive improvements by utilizing statistical techniques in test set-up to more accurately assess effectiveness of proposed risk strategies.
Work with other teams such as Advanced Analytics to design and build predictive models in tools such as Python/R/SAS.
Evaluate, implement, and monitor third-party scoring solutions.
Prepare supporting information and present findings to management.
Generate periodic reports for audit and regulatory compliance and assist with ad hoc requests.
Help formulate and revise credit policies and procedures to address new regulations.