Senior Credit Risk Analyst

About the role

In this hybrid role based at our Chicago Headquarters, you will develop and review credit policies and strategies as well as data and analytical frameworks for loan origination and loss forecasting. Review relevant data to identify the quantitative and qualitative factors driving the credit risk for consumer & mortgage loans. Perform evaluation, implementation and monitoring of third-party and in-house scoring solutions. Perform model and strategy testing and assist with audit/regulatory requests. Work cross-functionally with other teams such as Advanced Analytics, Lending, Loan Servicing, Marketing, Finance, and Data Service teams, preparing underwriting and account management presentations to management for review and implementation.

Responsibilities

• Analyze origination risk factors and recommend/implement improvements in areas such as underwriting criteria, lending policies and standards, and loan product pricing to increase loan volumes within the risk appetite.
• 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.
• Audit and 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.

Requirements

Minimum- 4 Year Bachelors Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
Preferred - Graduate Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
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

Qualifications

Education & Years of Experience
Minimum- 4 Year Bachelors Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
Preferred - Graduate Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
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

Skills

Statistical Techniques
Python/R/SAS
Credit Risk Analysis
Data Modeling
Loan Origination System Implementation

Benefits

Compensation & Benefits: Typical hiring range: $84,200.00 to $131,000.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.
Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including: Annual performance bonus
Work from home up to 3 days a week
Paid parental leave
Employee discount programs
Time off including paid personal and sick days
11 paid holidays

Pay

$84,200.00 to $131,000.00 Annually

Schedule

Regular Full-Time