Fintech Researcher for Buy-Now-Pay-Later Study

I'm looking for Academic Research Writer to help with writing our research paper in Fintech, especially in buy now pay later. A full project guide line will be provided.

Here are general points that need to be considered by the interested researchers

1. The research must not be the result of artificial intelligence such as ChatGPT, Gemini, etc.
2. Must use solid and recognized scientific references. Identify references during the research for the literature review
3. The research must be completed by the end of the first week of November
4. A brief project plan to be developed by the research highlighting the major milestones
5. ⁠Develop study & questionnaire design research (research methodology & Survey Development). Check details below
6. Data analysis & presentation through the Python language or SPSS
7. We will help the researcher in distributing the survey to the target audience in Saudi Arabia
8. The language is English
9. The researcher must be flexible & expect some modifications on the work submitted with the changes that might be requested by us.
10. The work includes developing the final presentation
11. 1-2 days Weekly meetings are to be held to discuss the progress of the research
12. The research paper should be a minimum of 50 pages all (this excludes appendixes and other attachments) with font size 13. The researcher must ensure that the paper in not plagiarism

5.1. Research Methodology (not limited to the following and this is just at least what we are expecting)
Study Design
Questionnaire Design
Study Area/Setting
Study Subjects
Sample Size
Sampling Technique
Survey Development
Development of the survey
Survey Pilot Validation
Survey Questions Validation
Data Analysis
Data Collection
Metadata
Statistical Analysis
Data Reliability Test
Descriptive Analysis
Results

Descriptive Analysis (not limited to the following and this is just at least what we are expecting)

Statistical Analysis
Statistical Description of Dependent and Independent Variables
Data Distribution
Pearson Correlation Analysis
Engagement Relationships with Participants Characteristics
Hypothesis Testing