For one of our clients we are looking for a freelance Frontend Developer
Description:
FinForc (Financial Forecasting)
The service is requested as part of the FinForc (Financial Forecasting) product. The product was developed in the current status during the last years in a project mode and will be further developed as product throughout 2024/2025.
The product intends to generate Artificial Intelligence driven forecasts to enhance accuracy with accepted reliability, ultimately leading to prescriptive analytics referring to financial outlook and budget planning cycles in order to:
get valuable and actionable insights resulting in smarter decisions and better business outcomes
enable earlier availability of financial forecasts
increase efficiency to free-up resources for value-adding activities
Prediction delivers substantial value for Finance & Controlling (F&C) and the Business:
Reduces planning efforts via manual data collection and business partner interaction and hence allows more time for both F&C and business for value-adding activities
Drives financial transparency via un-biased plan figures (no political planning)
Drives better allocation of funds and its utilization
Learning effect for the organization to utilize prediction models in the financial planning context and apply technology in the future also in other areas
The development activities in 2024/2025 are focusing beside others on increasing accuracy rates by adjusted algorithms, expansion of calculated KPIs and improvement of front-end capabilities.
Currently there is not sufficient know-how available internally and requires external service to fulfill the specific activities for the product.
The expertise tasks as a Frontend-Developer required during the assignment are:
Develop the product according to the prioritized Backlog items as included in the aligned Sprint plan to scale-up the solution based on BI´s infrastructure and develop frontend applications
Development activities shall be executed considering hardening existing code bases, by:
Development of QA tests. Coordination between manual and automated tests as well as the various necessary tests considering the respective content of each sprint.
Creation of manual test plans, test cases and test scripts. Consult the team to define and run these tests.
Get feedback within sprint meetings in order to apply BI standards during the assignment, to setup compliance and quality within the product.
Consult the data scientists on options regarding suitable solutions for the creation of an enterprise-grade application software