International Fraud Group

Sector: Palm Oil 

Data expertise: Traffik Analysis Hub / Open Apparel Register / Diginex (Lumen) / Wikirate / STOP THE TRAFFIK / MDR Lab

Task: Develop a prototype that is capable of reading across company published data and external material and establishing a risk score for a raw materials or manufacturing business that indicates sufficient disparity in both the level and costs of production and a likelihood of exploitation in the workforce.

Output (use any one output while building your solution)

• A sector and geographic-specific risk profile
• Financial typologies/profiles for money laundering
• Trafficking and exploitation patterns from a recruitment perspective
• A new narrative for due diligence and KYC
• Focus for audit in supply chains

Outcome: Use any one of the 5 outputs given and your own datasets to build an output. For example, a validation system, dashboard, analytics tool or a risk-generation system, or any other solution which takes specific profile/data as an input and gives a corresponding outcome as an output.

For example, for this output "Trafficking and exploitation patterns from a recruitment perspective", one of the solutions that you can ideate and subsequently build is a system that takes a profile as an input and assigns a probability score to it as an output to show how likely it is that this person was trafficked or exploited. Your output could also include a graphical representation of the data.

Technology Guidance: Preferred programming languages would be Python & JavaScript and the graphic tools would be NodeJS & React plus packages like Elasticsearch & Kibana.

Resources:

• TAHub: Commercial sources (Dunn and Bradstreet / Bloomberg etc)
• Financial Modelling Prep: Financial Filings, Income/Balance Sheet/Cash Flow Statements
• Coding Manuals:
  • https://docs.python.org/3/download.html
  • https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference
  • https://www.elastic.co/guide/en/kibana/index.html

•  TIP Report 2021

• TA HUB Data Hackathon 2022

• Sample datasets for the 5 outputs mentioned in the theme:
  • Risk profile
  • Money laundering
  • Exploitation and trafficking
  • Due diligence and KYC
  • Audit in supply chains