Fintech Case Study

Neo-
Treasury

Reimagining institutional liquidity management for high-velocity cross-border settlements through architectural clarity and behavioral constraints.

Role

Lead Product Designer

Timeline

8 Months (2023)

Context

Institutional B2B

Output

Dashboard & System

01

The Problem Statement

Institutional traders were managing multi-billion dollar liquidity pools using fragmented legacy interfaces. High latency and cognitive overload led to frequent "fat-finger" errors in settlement routing, costing firms millions in slippage and correction fees.

Critical Insight

"Users were duplicating data into Excel spreadsheets because they didn't trust the primary dashboard's real-time accuracy during high volatility."

84%
Fig 1.1 — Liquidity Flow Visualization Architecture
02

The Design Process

Discovery

Shadowed 12 institutional traders across 3 time zones to map critical decision-making nodes.

Stress Testing

Built interactive prototypes to measure response times under simulated "market crash" conditions.

Refinement

Iterative logic mapping for multi-sig approval flows to reduce friction without compromising security.

03

The Solution Details

Behavioral Constraints

Implemented "Dynamic Confirmation" logic—where the friction of a transaction (number of steps) scales based on the risk profile and dollar amount of the transfer.

Architectural Clarity

Created a "Global Settlement Status" component that provides a unified view of assets across L1, L2, and off-chain ledgers, removing the need for external verification.

ORDER ROUTINGOPTIMAL
PathNY -> LDN -> SG
04

Measured Impact

-40%

Error Reduction

Decrease in transaction settlement errors via the implementation of "Risk-Aware UI" patterns.

2.4s

Faster Execution

Average time saved per transaction through hot-key architecture and optimized data fetching.

$12B+

Liquidity Routed

Total volume successfully managed through the platform in the first 6 months of launch.