Financial Risk Assessment Data Analysis
Budget: $8 – $15 USD
I need a sharp, data-driven mind to dive into my company’s financial figures and surface the risks that matter. You will start with raw balance-sheet extracts, cash-flow statements, and several years of transaction-level data (all in CSV and Excel). After cleaning and normalising the files, I want you to:
• Build a clear risk-scoring model that highlights exposure by product line, client segment, and time horizon
• Back-test the model against historical shocks so we can gauge sensitivity
• Summarise your findings in a concise written report and an interactive dashboard (Python + Pandas / Power BI or Tableau—whichever you’re faster in)
Accuracy is critical, so I expect well-commented code notebooks, reproducible calculations, and the raw output tables alongside the visual insights. Once I can rerun the notebook on my end and the dashboard flags the same top risks, the job is done.
• Build a clear risk-scoring model that highlights exposure by product line, client segment, and time horizon
• Back-test the model against historical shocks so we can gauge sensitivity
• Summarise your findings in a concise written report and an interactive dashboard (Python + Pandas / Power BI or Tableau—whichever you’re faster in)
Accuracy is critical, so I expect well-commented code notebooks, reproducible calculations, and the raw output tables alongside the visual insights. Once I can rerun the notebook on my end and the dashboard flags the same top risks, the job is done.
Related categories:
Python
Statistics
Financial Analysis
Statistical Analysis
SPSS Statistics
Data Analytics
Data Analysis
Power BI