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Solidus Labs is a fintech company providing trade surveillance technology for financial institutions and regulators. The company detects market manipulation, financial crime, and fraud across traditional and crypto markets, monitoring over a trillion events daily. With 20+ years of Wall Street expertise, Solidus operates from headquarters in New York with offices in Singapore, Tel Aviv, and London.
The Data Integration Analyst role owns the end-to-end onboarding and normalization of external data into the platform's standardized schema. You will sit at the intersection of clients, data vendors, product, and R&D teams, translating heterogeneous source feeds—client trade data, market data, and vendor reference feeds—into a consistent, production-ready format that powers downstream market inspection and surveillance algorithms.
Key responsibilities include:
• Onboarding client trade data (orders and executions): specify target format and transmission method (flat file/SFTP, API, Kafka JSON, FIX), map source fields to standardized schema, and align feeds to standard load processes.
• Coordinating and integrating market data feeds: scope requirements per use case (Level 1 vs Level 2 depth), align with vendors, map fields to standardized format, and surface schema gaps with stakeholders.
• Handling other data feeds (news, corporate events, client reference data, vendor feeds), working specifications and adapters with product and R&D teams.
• Driving each integration end-to-end from initial sample through validated ingestion, confirming correctness in UAT before production promotion.
• Maintaining mapping documentation and source-to-target references, monitoring feed health and data quality, flagging anomalies, and feeding learnings back into the process.
This role requires a detail-oriented, analytical, and service-minded individual comfortable moving between technical specification and client-facing communication. Success means external data is mapped faithfully, gaps are surfaced and resolved early, and every feed is validated before reaching production.
