Northwest Bank is looking to solve problems related to loss forecasting, scenario and stress testing, originations & collections, pricing, and portfolio optimization for various loan products. They also aim to develop business intelligence, identify growth opportunities, and increase profitability through advanced analytics and data management.
Requirements
- Experience programming in Python, R, or SAS is preferred.
- Knowledge of visualization tools (Tableau, Power BI) is preferred.
- Proficiency in Microsoft Excel and other financial software.
Responsibilities
- Develop, test, implement, and execute complex statistical models used for loss forecasting, scenario and stress testing, originations & collections, pricing, and portfolio optimization for retail, small business, and commercial loan products.
- Evaluate model output, summarize, and articulate results to the organization.
- Refine, monitor, and support the validation of existing models.
- Develop advanced portfolio analytics with visualization tools and articulate results to the organization.
- Leverage industry and credit bureau data to develop business intelligence and identify growth opportunities and increase profitability.
- Collect, validate, and stage data to support needs of all quantitative activities.
- Reviewing academic and industry research, present summaries to senior leadership, and suggest practical applications.
Other
- Currently enrolled in an undergraduate or graduate program related to physics, mathematics, statistics, economics, or other quantitative discipline.
- A record of high academic achievement is required.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and organizational skills.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
