A real-time data pipeline and dashboard tool for financial teams to monitor trades, exposures, pricing signals, and portfolio risk across venues.
Added May 25, 2026
Trading and financial operations teams need to process large volumes of market, transactional, and portfolio data with very low latency. The signals show teams building custom infrastructure for trade surveillance, cross-exchange analytics, order book microstructure, pricing feeds, and consolidated financial workflows, which creates heavy engineering burden.
StreamRisk provides managed streaming pipelines, prebuilt financial data models, and real-time dashboards for trade surveillance, exposure tracking, VWAP-at-depth, cross-exchange spreads, and portfolio performance. It integrates with event streams such as Kafka or Flink-backed systems and normalizes market, operational, and financial workflow data into production-ready analytics views.
Crypto, trading, fintech, and asset management teams are hiring engineers to build real-time financial data infrastructure in-house. The repeated need for sub-second analytics, surveillance, and consolidated financial workflows suggests demand for a specialized SaaS? layer.
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Lead subject-area modeling for customer, account, order, trade, position, clearing & settlement and market data; productize reusable metrics and customer profiles. Build the real-time computing stack on Kafka + Flink / Spark Structured Streaming — CDC ingestion and low-latency pipelines powering real-time trade monitoring and live metrics.
Risk Data Pipelines develops software on top of the core Risk Technology platform to handle market or asset-class specific processing, including: Trade Data Ingress - Normalize and stream trade data to Squarepoint's systems from trading platforms like Bloomberg, Fidessa and SpiderRock.
Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management.
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