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Data visualization Financial modeling Risk, audit and compliance Data scienceSkills
sensitivity analysis cash flows financial risk financial risk modeling mathematics economics reliability futures exchangeAs a growing company, we are interested in understanding the state of the market we are in, and our organization’s level of risk. In this project, students will assess our company’s risk by building a financial risk model to determine our best course of action. Students will perform a sensitivity analysis to help us eliminate some of the uncertainties we face and determine the reliability of risk estimates.
This may involve:
- Using mathematical and statistical tools to analyze private and public data.
- Evaluating metrics associated with the risk level of our company such as volatility, correlations for returns, forward/futures contracts, cash flows, variance, and economic states.
- Building a financial risk model including sensitivity analysis to determine the reliability of the model’s findings.
- Creating a report to present the results and recommendations from various forms of analysis to be presented to the project manager.
By the end of the project, students should complete the following list of activities (this is basically a retelling of the steps above):
- Use mathematical and statistical tools to analyze data sets.
- Evaluate metrics associated with the risk level of our company.
- Build a financial risk model with sensitivity analysis.
- Creating a report with the analysis results and recommendations.
Final deliverables should include
- A report including all results and recommendations from the data analysis.
- A 30-minute presentation.
Providing specialized, in-depth knowledge and general industry insights for a comprehensive understanding.
Sharing knowledge in specific technical skills, techniques, methodologies required for the project.
Direct involvement in project tasks, offering guidance, and demonstrating techniques.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
Supported causes
The global challenges this project addresses, aligning with the United Nations Sustainable Development Goals (SDGs). Learn more about all 17 SDGs here.
About the company
SERVUS collaborates with municipalities to develop and
implement data-driven pricing policies that balance fiscal
responsibility with community equity. We combine municipal
operations expertise with advanced data science to first design
evidence-based frameworks with our clients, then deploy our
software solutions to implement these policies and deliver
measurable fiscal outcomes.