Director, Credit Risk Forecasting and Monitoring (onsite Omaha, NE)
- Omaha, NE
- $95,857-162,957 per year
- Permanent
- Full-time
Areas of focus include the conversion of loss forecasting to CECL standard and the development of analytics that connect loss forecasting to qualitative factors and make loss forecasting an integral part of business management decisions.
The individual in this role will have a deep working knowledge of the most advanced methods utilized in credit forecasting and will stay abreast of the latest techniques, along with the ability to take these technical concepts and apply them in a functional manner to FNBO’s historical data. A broad understanding of how models are used throughout the credit-related activities of a bank is essential.
This individual will build and maintain relationships with partners and stakeholders across the bank, including Credit Risk, Treasury, Finance, Technology, Audit, and Lines of Business. This role requires strong interpersonal skills and the ability to communicate clearly and succinctly with executives, senior management, peers, analysts, regulators, and auditors.About This Role:Duties may include:
- Utilize advanced statistical and programming skills to develop and run sophisticated loss forecasting models for the FNBO's consumer installment loans and card portfolios across both consumer and commercial segments. Apply sophisticated modeling techniques including—but not limited to—Random Forest, Gradient Boosting Machines, Logistic Regression, non-linear algorithms, and data segmentation approaches to maximize predictive power and model performance.
- Develop and communicate with wide business audiences across the organizational levels, advanced analyses that connect loss forecasting results to risk appetite development and monitoring, to management decisions, and macroeconomic trends.
- Ensure models meet regulatory standards including SR 11-7, while maintaining documentation and governance practices that satisfy internal audit and external regulatory requirements.
- 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.
- 7+ years of experience in highly analytical business functions, including at least 4 years in Credit Risk Forecasting or related fields.
- 3+ years of experience using Python programming, with a focus on data analysis and financial modeling.
- Strong knowledge of SQL and experience working with cloud-based data warehousing solutions (e.g., Snowflake) and version control systems (e.g. Git).
- Expert knowledge of Excel.
- Demonstrated excellent oral and written communication skills.
- Demonstrated ability to handle stress, meet deadlines and work independently.
- Experience in banking or financial services is preferred.