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Case Study // Schonfeld

Market data risk analysis platform for an institutional fund

Schonfeld case study — market data risk platform UI

We partnered with an institutional fund to build a market data risk analysis platform where latency, accuracy, and auditability are non-negotiable. Rather than a single monolith, we engineered a unified system — event-driven ingestion, a serverless processing layer, decoupled microservices, and Python analytics — so stale or inconsistent market data never reaches a decision. Every component was designed to work in harmony to deliver continuous, reliable market-data throughput.

01 // Challenge

The client operates under the latency, accuracy, and audit demands of institutional market data workloads: a risk analysis tool where stale or inconsistent data directly costs money.

02 // Architecture

Event-driven ingestion with a serverless processing layer and Python analytics, decoupled microservices, and idempotent data pipelines designed for continuous market-data throughput.

03 // Result

A risk analysis platform the client describes as a game-changer, with software development and market data analytics expertise evident throughout the entire build.

04 // Delivery Included
PythonREST APIJavaSQLAlchemyFalconTornadoJenkinsDockerDocker SwarmKDB+RedisAmazon Aurora

“Working with Comtom Engineering to build our market data risk analysis tool was a game-changer for our financial firm. Their expertise in software development and market data analytics was evident throughout the entire process.”

Russell Baker
Russell Baker
Schonfeld