Credit Strategy Analyst

Agriculture Works Here•Omaha, NE

4d•Hybrid

About The Position

AgCountry Farm Credit Services (AgCountry), Farm Credit Services of America (FCSAmerica) and Frontier Farm Credit are financial cooperatives that operate under shared management across eight states. While each association is owned by its local farmers and ranchers, they collaborate by pooling resources, expertise, and talent to provide affordable credit, crop insurance, and financial services. Our associations are united by a common mission and commitment to serving rural America and supporting each other, which drives the success of the farmers, ranchers, and agribusiness we serve. We take pride in being a great place to work, and this enthusiasm is reflected in the relationships our team members foster with one another and with our customers. Hybrid-Must work a percentage of time each week in the Omaha, NE office. We are seeking a Credit Strategy Analyst who will be responsible for designing, implementing, and continuously improving credit decision strategies and analytical frameworks that support consistent, efficient, and scalable credit practices across the Associations. As an analyst, you will leverage advanced analytics, modeling, machine learning (ML), and business insights to assess credit and portfolio risks, optimize decision quality, inform sound underwriting outcomes, and ensure compliance with governance and regulatory standards.

Requirements

Bachelor's degree in Economics, Business Administration, Finance, Agricultural Economics, Statistics, or related fields.
2+ years of experience in credit, finance, or risk management.
Strong collaboration, communication, and presentation skills with the ability to interact with teams at every level of the organization.
Creativity to develop data visualizations that can be easily interpreted by stakeholders.
Demonstrated ability to break down technical concepts for non-technical audiences.
Strong proficiency with SQL, Alteryx, and Excel for data extraction, analysis, and automation (e.g., complex joins/CTEs, Power Query/Power Pivot, SSAS cubes, advanced formulas).
Working knowledge or willingness to develop knowledge of statistical programming languages (e.g., R, Python).
Experience with data visualization and dashboard applications (e.g., Power BI).
Understanding of statistical modeling techniques and measures (e.g., logistic regression, decision trees/GBM, scorecards, segmentation, drift/stability analysis, ROC, KS) and their application in credit decisioning.

Nice To Haves

Graduate degree in one of the above disciplines preferred.
Familiarity with cloud data platforms (e.g., Snowflake) preferred.
Knowledge of model risk management frameworks and documentation practices preferred.
Direct experience preferred; demonstrated aptitude and willingness to learn will also be considered.

Responsibilities

Design, implement, and continuously improve credit decision strategies and models that drive consistent underwriting outcomes and scalable credit practices.
Develop and maintain portfolio analytics and monitoring across loan application, origination, renewal, and underwriting processes.
Evaluate credit policy outcomes, decision strategies, and portfolio performance to identify opportunities for improvement and inform leadership decisions.
Partner with cross-functional teams to deliver analytical solutions that integrate into automated decisioning, monitoring, and reporting workflows.
Support model governance activities including documentation, validation support, and alignment with regulatory and internal governance expectations.
Translate complex analytical findings into clear, actionable insights for management committees, leadership, and business partners.
Contribute to the evolution of automated credit decisioning and monitoring practices, ensuring transparency, accuracy, and alignment with organizational objectives.