StreamLedger Market Data Control Plane
8 Signals

StreamLedger Market Data Control Plane

A managed platform that ingests live financial data and produces real-time trading, risk, surveillance, and portfolio analytics dashboards.

Added May 26, 2026

Financial Infrastructure
Trading Analytics
Real-Time Data
Opportunity Score
Opportunity: Medium (68%)
Evidence Strength
Vol: 30%
Urg: 50%
Spec: 100%
Market Analysis
medium
$ high
The Problem

Crypto and financial trading teams are repeatedly hiring engineers to build streaming pipelines for market data, portfolio exposure, trade surveillance, pricing inputs, and desk analytics. These systems must consolidate fragmented exchange, transactional, and operational data while meeting low-latency and reliability requirements.

Potential Solution

Build a SaaS control plane for financial data teams that connects to exchanges and internal transaction systems, normalizes order books and trades, and computes real-time analytics such as spreads, VWAP at depth, exposure, performance, and anomaly flags. The product would provide APIs and dashboards for trading desks, risk teams, pricing models, and wealth or asset management workflows.

Why Now?

Job postings across crypto, fintech, and market platforms show companies investing in real-time financial data infrastructure instead of relying only on batch reporting. Streaming technologies like Kafka and Flink are becoming core to trading, surveillance, pricing, and portfolio workflows.

Showing 1-14 of 14 signals

Job ads
Jul 28, 2026
duotech-pte-ltd-202022730w
Senior Data Engineering

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.

Job ads
Jun 29, 2026
jpmorgan-asset-management-singapore-limited-197601586k
Software Engineer III, Global Equity Portfolio Management Technology

• Translate investment workflows into intuitive, resilient tools by working closely with PMs, product partners, and engineering peers. • Architect and implement event-driven/streaming capabilities (e.g., Kafka) to ingest market data, signals, reference data, and intraday portfolio events with strong observability, replay, and data quality controls.

Job ads
May 26, 2026
Keyrock
Senior Data Engineer

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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