The screening platform checks people, companies, vessels and aircraft against global and local watchlists. It supports fuzzy matching, real time checks, batch scans and manual review. The product helps compliance and risk teams detect risky entities fast and follow regulations in a simple and reliable way.
Product scope and context
The platform is used across fintechs, banks and compliance teams that need fast and consistent checks. It helps with:
- Screening names across many lists
- Detecting matches with exact or fuzzy logic
- Reviewing alerts and deciding next steps
- Using real time API or batch scanning
- Managing safe list and block list decisions
- Providing clear explanations for each result
- Supporting audits with a structured history
The tool works for both API-based automation and dashboard users who perform manual review.
My role
I focused on making the product simpler, clearer and easier to adopt.
- Redesigned the screening flow to be easier to understand
- Managed the backlog and cleaned up feature scope
- Planned sprints and organized work across teams
- Built the roadmap and divided it into clear quarterly goals
- Created internal documentation for team alignment
- Designed the external knowledge base to help customers use the product
- Worked with developers to improve flows and stability
- Coordinated with sales and support teams on use cases and adoption issues
Key contributions
- Simplified the full screening journey for faster decision making
- Improved UI and the way results are shown to users
- Helped reduce confusion around fuzzy matches and score logic
- Designed a safer structure for manual review steps
- Created clean documentation that improved onboarding
- Supported product adoption for both technical and non technical teams
Product architecture
The platform works through several layers:
- Data Layer: Global and local watchlists used for matching
- Matching Layer: Exact and fuzzy logic that finds potential risks
- Alert Layer: Alerts with score, field highlights and match reasons
- Review Layer: Manual review, safe list and block list actions
- API Layer: Real time screening and batch operations
- Audit Layer: Full history of actions and results
This structure supports both automation and human decision making.
Impact
- Faster and more reliable screening for compliance teams
- Lower manual workload and clearer results
- Better understanding of fuzzy matches
- More consistent decisions across teams
- Stronger product adoption due to easier onboarding
- Higher operational efficiency for fintech and banking clients
Notable decisions or constraints
- Needed to show complex match logic in a simple way
- Performance and API speed were key for real time checks
- Had to support many list types and entity formats
- Adoption required clearer UX and better documentation
- Had to balance strict regulations with a clean user experience
Summary
The screening platform became a simple, stable and easy to understand tool for detecting risky entities. It improved decision speed, reduced manual effort and helped teams stay compliant with global regulations.