Credit Risk Analyst

What will your day look like?

You will be responsible for developing and reviewing credit policies and strategies as well as data and analytical frameworks that are used for loan origination, loss forecasting, capital planning and CECL; formulating credit policy and strategies; reviewing the relevant data to identify the quantitative and qualitative factors driving the credit risk for consumer & mortgage loans; leading evaluation, implementation and monitoring of third-party and in-house scoring solutions; performing model and strategy testing; and assisting with audit/regulatory requests. The incumbent is a key contributor to the success of the Risk Management team. Work involves working cross-functionally with the Advanced Analytics, Lending, Loan Servicing, Marketing, Finance, and Data Service teams, preparing underwriting and account management presentations to management for review and implementation. Resources to do the job require understanding of internal databases credit bureau and other relevant external data, reliance on knowledge of loan products and credit risk modeling, as well as regulatory requirements. General direction is received from the VP, Chief Credit Officer.

Responsibilities

Do you see yourself doing this?

• Analyze origination risk factors and recommend/implement improvements in underwriting criteria, lending policies and standards, and loan product pricing to increase loan volumes within the risk appetite
• Review and monitoring credit risk for credit card, and recommend/implement line management, pricing and authorizations strategies
• Support new data acquisition and consult less experienced analysts and other functional areas on current data architecture
• Prepare data for third-party quarterly mortgage & consumer loan portfolio performance analysis
• Provide support and rule recommendations for loan origination system implementation and maintenance
• Collaborate with Lending, Marketing, and other departments to assess risk with respect to future new and enhanced lending products as well as potential Loan Trading Desk transactions
• Credit risk analytics including but not limited to economic capital analysis, credit loss modeling and mitigation, CECL implementation
• Partner with Loss Prevention & Recovery to enable sound collection strategies as well as delinquency reporting
• Build rapport with Database Administration to streamline two-way communication to ensure data quality
• Query the Data Warehouse and other databases with SAP Business Objects / Microsoft SQL Server Management Studio to extract, summarize, and save relevant data
• Drive improvements in test set-up to more accurately assess effectiveness of proposed risk strategies and team up with Operations and other departments for project implementation
• Work with the Advanced Analytics team to design and build predictive models in 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

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

Where permitted by applicable law, successful applicants to this position must either have received or be willing to receive the COVID-19 vaccination by date of hire to be considered (proof of vaccination is required), or be willing to submit a negative COVID-19 test result in advance of each visit to an Alliant facility.

Qualifications

What makes you a great fit?

Required

You’ll be a great fit if in addition to the completion of an Undergraduate Degree in a Quantitative or Business/Finance field required, Masters or PhD degree desirable, and you have

• Five or more years of credit risk/analytics experience in financial services/credit cards/loans
• Understanding of credit loss calculation and stress testing process, such as CECL/CCAR/DFAST etc. preferred
• Hands-on work experience on the credit risk modeling and risk measures (PD, LGD and EAD) preferred
• Strong programming experience for developing statistical models, preferred in Python and/or R
• Experience with relational databases and SQL syntax, hands-on with SAP BusinessObjects/Tableau reporting preferred
• Excellent organizational, communication, collaborative, and consultative skills
• Ability to successfully present complex analyses to internal customers with different technical backgrounds

When you’re happy, we’re happy!

As a thank you for joining our team, you’ll benefit from:

• Competitive medical, dental, and free vision benefits
• Competitive compensation plan
• Contributions towards gym memberships
• Generous PTO and banking holidays off

Still not convinced?

For more details you can also visit our Glassdoor and LinkedIn profiles.