Director, CECL Analytics and Loss Forecasting; Omaha, NE

Summary of the Job

Director, Loss Forecasting and CECL Analytics is a technical and business leadership position that drives the organization's CECL strategy, loss forecasting excellence, and credit risk business intelligence across FNBO's consumer installment loans and card portfolios in both consumer and commercial segments. This dual-focused role combines deep technical expertise in advanced statistical and econometric modeling techniques with strategic business leadership, serving as both the primary subject matter expert for sophisticated loss forecasting models and a trusted advisor to executive leadership on credit risk trends, regulatory implications, and strategic opportunities within the loss forecasting domain.

• Lead strategic business initiatives integrating loss forecasting capabilities with business strategy execution, risk appetite development, and regulatory compliance across consumer and commercial lending portfolios.
• Serve as trusted advisor to executive leadership, providing strategic insights that connect loss forecasting results to business performance, market opportunities, and strategic decision-making.
• Utilize advanced statistical and programming skills to develop sophisticated loss forecasting models for FNBO's consumer installment loans and card portfolios across both consumer and commercial segments.
• Apply sophisticated econometric techniques including regression analysis, time series modeling, survival analysis, and portfolio segmentation approaches consistent with industry best practices and regulatory guidance.
• Lead continuous enhancement of CECL qualitative assessments and write‑ups, ensuring comprehensive explanations of portfolio‑specific risk factors, economic adjustments, and management overlays that support quantitative model outputs.
• Develop and communicate advanced business intelligence that connects loss forecasting results to management decisions, macroeconomic trends, and organizational objectives across wide business audiences.
• Ensure models meet regulatory standards including SR 11‑7, while serving as primary liaison with internal and external regulators, auditors, and vendors on ongoing CECL‑related matters and examinations.
• Drive ongoing improvement of qualitative methodologies, model validation processes, and documentation standards while ensuring regulatory compliance.
• Drive business innovation through enhanced loss forecasting methodologies and process automation that support business growth and operational efficiency.
• Provide strategic guidance and technical mentorship to analysts and business leaders across the organization on complex analytical projects, modeling techniques, and qualitative assessment methods.
• Build organizational capabilities through expertise sharing, training initiatives, and strategic consultation that enhance enterprise credit risk management including both quantitative and qualitative analysis expertise.

Knowledge & Skills

• Demonstrated leadership abilities with experience managing projects and/or teams in a technical environment.
• Ability to manage multiple complex projects simultaneously while meeting critical deadlines.
• Knowledge of consumer installment loans and consumer and/or small business credit card loans.
• Extensive knowledge of statistical and data science methods applied in the finance industry along with advanced programming skills.
• Ability to work with data to identify complex business trends and propose solutions.
• Ability to build consensus and influence the organization in order to achieve business goals.
• Experience with loss forecasting and stress testing at a financial institution, preferably a CCAR institution.

Education and Experience

• Master's degree or PhD in data science, mathematics, statistics, finance, economics, or related field required.
• 8+ years of experience in highly analytical business functions, including at least 4 years in Credit Risk, modeling or related fields.

Experience and Technical Skills

• 3+ years of experience using Python programming, and SQL with a focus on data analysis, financial modeling, and expert knowledge of Excel.
• Strong knowledge of working…