At FNBO, our employees are the heart of our story—and we’re committed to their success! Please see below the details of this career opportunity and how it fits into our organization’s success.

Our Modern, Flexible Workplace:

We believe in a Modern, Flexible Workplace, and we are continuously exploring advancements in technology and office environments to make it easier to work from anywhere at any time, allowing for more flexibility in where and how you work. We know that choice and flexibility are important to you. We also recognize that flexible and remote positions can become opportunities for military partners, caregivers, and individuals with disabilities to thrive at our company. We invite you to consider what a Modern, Flexible Workplace can mean for you!

It is anticipated that an incumbent in this role will work remotely for three (3) or more days a week and will share a hoteling workspace when working onsite. Work location is subject to change based on business needs.

Summary of the Job:

We are seeking a skilled Credit Analyst with strong Python programming capabilities and a background in finance and banking to support our Loss Forecasting team within Credit. This role will be responsible for building, maintaining, and optimizing analytical models for Partnership and Banking CECL (Current Expected Credit Loss) calculations, focusing specifically on loss forecasting analysis.

This role offers an exciting opportunity for a talented individual to contribute to critical loss forecasting processes while developing their skills in a dynamic banking environment. The successful candidate will have the chance to work with cutting-edge technologies and gain valuable experience in credit risk management and financial analysis, with a specific focus on loss forecasting methodologies.

About This Role:

This position is hybrid remote and needs to be in located in the Omaha NE/metro area.

Key Responsibilities:

• Create and maintain Python-based analytical solutions for CECL models and other loss forecasting tools

• Work with SQL-based cloud environments (e.g., Snowflake) to extract, transform, and analyze large datasets related to loss forecasting

• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions for loss forecasting models

• Create and maintain Excel spreadsheets for loss forecasting data analysis and reporting purposes

• Support the implementation and transition of analytical models into production environments

• Generate and distribute loss forecasting analysis reports

• Participate in meetings and training sessions to stay current with industry trends and best practices in loss forecasting and CECL modeling

• Support senior team members in ad-hoc analysis and special projects related to loss forecasting

• Continuously improve and optimize loss forecasting methodologies and processes

The Ideal Candidate for This Role:

Required Qualifications:

• Bachelor's degree in Finance, Economics, Mathematics, Statistics, or a related field

• 3-5 years of experience in credit analysis with strong Python programming skills required

• Strong knowledge of SQL and experience working with cloud-based data warehousing solutions (e.g., Snowflake)

• Proficiency in Excel for complex data analysis and reporting related to loss forecasting

• Solid understanding of banking, finance, credit risk, and consumer lending concepts, particularly as they relate to loss forecasting

• Experience with CECL modeling or similar loss forecasting methodologies

• Excellent analytical and problem-solving skills

• Strong communication skills, both written and verbal

• Ability to work independently and as part of a team in a fast-paced environment

Preferred Qualifications:

• Master's degree in a relevant field

• Experience with data visualization tools (e.g., Tableau, Power BI) for presenting loss forecasting results

• Knowledge of machine learning techniques and their applications in loss forecasting

• Familiarity with regulatory reporting requirements related to CECL and loss forecasting in the banking industry

• Experience with version control systems (e.g., Git)

Compensation:

Compensation range (base pay): $60,830.00-$100,370.00

Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.

Benefits Overview:

We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and work-life balance, we offer benefits to match your needs:

• Medical, Dental, Vision Insurance

• 401k, With Matching Contributions

• Time Off Programs

• Health Savings Account (HSA)/Dependent Care

• Employee Banking

• Growth Opportunities

• Tuition Assistance

• Short-Term/Long-Term Disability Insurance

Learn more about FNBO benefits here: https://www.fnbo.com/careers/benefits/ .

For additional information regarding compensation and benefits, e-mail FNBO at TAGAdmin@fnni.com . To ensure you receive a response, include the number of this job (listed below) in the subject line of your message.

Job number: R-20241192

Equity, Diversity, & Inclusion:

FNBO is committed to belonging, inclusion, diversity and equity. We are committed to intentionally and proactively creating pathways to success for historically underrepresented populations. To accomplish this, we foster a culture of belonging and inclusion so that every employee is valued, and has opportunity and the ability to make an impact. FNBO strives to reflect the diversity of the communities we serve in the makeup of our workforce.

See the full FNBO Equity, Diversity, & Inclusion Statement here (https://www.fnbo.com/about-us/inclusion-diversity/)

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC

FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants)

Application Deadline:

All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.