
51 - 200 employees
🔒 Cybersecurity
💳 Fintech
💰 $45M Series B on 2022-05
Cybersecurity • Fintech
Solidus Labs is a software development company focused on enhancing security and compliance in the digital asset ecosystem. They offer innovative solutions such as Trade Surveillance, Transaction Monitoring, and Staking Guard, which help to detect and deter risks throughout the lifecycle of digital assets.
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51 - 200 employees
🔒 Cybersecurity
💳 Fintech
💰 $45M Series B on 2022-05
Cybersecurity • Fintech
Solidus Labs is a software development company focused on enhancing security and compliance in the digital asset ecosystem. They offer innovative solutions such as Trade Surveillance, Transaction Monitoring, and Staking Guard, which help to detect and deter risks throughout the lifecycle of digital assets.
• Onboard client trade data, including orders and executions, by specifying normalized formats and transmission methods • Map source fields to the standardized schema and align feeds to the standard load process • Coordinate and integrate market data feeds, including scoping requirements for Level 1 versus Level 2 depth • Work with vendors to obtain market data and map relevant fields to standardized formats • Handle news, corporate events, client reference data, and other vendor feeds with the product team and R&D • Drive integrations end to end from initial sample through validated ingestion and UAT confirmation before production • Maintain mapping documentation and source-to-target references • Monitor feed health and data quality, flag anomalies, and feed learnings back into the process • Surface schema gaps and resolve them with R&D and relevant stakeholders • Translate between technical specifications and client-facing communication
• Bachelor's degree in Information Systems, Industrial/Software Engineering, Computer Science, Data Analytics, or a related field — or equivalent practical experience • 5+ years in a data integration, data analyst, support, technical onboarding, or business/operations analyst role • High attention to detail and a structured, methodical approach to data mapping and validation • Strong analytical skills; comfort working with structured data, schemas, field-level mapping, and tabular formats (e.g., CSV, XML, JSON) • Excellent communication and stakeholder management; able to bridge technical and business conversations with both R&D and clients • Strong service orientation and ownership — able to drive an integration from specification through to validated, end-to-end delivery • Exposure to data integration / ETL / adapter development workflows • Scripting or query experience (e.g., Python, SQL) for inspecting and transforming data • Experience with financial / market data or trading systems and their data requirements • Familiarity with Level 1 vs Level 2 market data and order/execution lifecycle concepts
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