Toptal helps fintech trading company reduce trading errors by more than 60%.
As rising trading volumes and increasingly complex strategies strained its existing systems, a fintech trading company turned to Toptal to improve execution speed, reduce errors, and support more demanding trading activity.
Client
A Cayman Islands–based fintech company running a trading platform that executes multiple strategies.
Revenue
Industry
Financial ServicesDelivered Services
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Schedule a CallChallenge
The trading platform struggled to process multiple trades and strategies simultaneously, with execution delays and fragile integrations contributing to missed trades and increased manual oversight. The company needed to improve performance and stability without disrupting existing operations.
Solution
Performance-focused System Optimization
Toptal engineers stabilized core trading workflows, using Node.js for API orchestration and strategy coordination and Rust for performance-critical components requiring faster, more predictable execution.
Decentralized Architecture Design
The team applied decentralized exchange principles to create more predictable transaction workflows, using PostgreSQL for consistent data management and a modular architecture to support concurrent trading activity.
Outcome
Faster Trade Execution
Performance improvements reduced trade execution latency by approximately 40% to 50%, allowing the platform to process concurrent strategies more quickly and handle greater trading volumes.
Reduced Trading Errors
More predictable execution workflows and stronger transaction management reduced operational errors and trade reconciliation issues by more than 60%, decreasing the need for manual oversight.
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