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.

Essential 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.
• 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.

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

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
• Education reimbursement

- Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.

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. 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. 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 Compensation &

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