5 дней назад
Graph and Data Engineer (Crypto)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Graph and Data Engineer (Crypto): Building a canonical entity and knowledge graph for identity resolution, transaction reporting, and agent authorization across internal systems with an accent on privacy-preserving linkage, graph architecture, and regulatory compliance. Focus on designing bitemporal models, temporal permissions, provenance tracking, and ML-driven anomaly detection for secure, auditable multi-agent operations.
Location: Remote within Chicago, New York, London, or Amsterdam
Company
provides regulated crypto and stablecoin infrastructure for financial institutions, fintechs, brokerages, payment companies, and marketplaces.
What you will do
- Lead a classify-at-source pilot with Finance and Compliance, defining unified tag models and operational metrics.
- Build entity-resolution pipelines across systems such as Slack, Jira, and Ironclad using privacy-preserving linkage and canonical IDs.
- Design knowledge-graph architecture, schemas, temporal permissions, provenance tracking, and delegation chains for agent credentials.
- Develop graph-based correlation, event-tracking, authorization, drift-detection, and historical-replay capabilities.
- Apply machine learning and graph-native methods to analyze multi-agent behavior, detect anomalies, and identify shared lineage or prompts.
- Ensure identity-layer compliance with regulatory requirements, jurisdictional data partitioning, and privacy-by-design standards.
Requirements
- Direct experience with entity resolution, identity systems, or knowledge-graph modeling.
- Strong Python and production experience with graph or relational data engineering.
- Applied machine learning for resolution at scale, including embedding- or LLM-based matching and self-supervised or active-learning loops.
- Experience designing schemas and APIs for heterogeneous human and machine consumers.
- Ability to work directly with Finance and Compliance on a live data pilot and build foundational infrastructure for new consumers.
- Security and privacy by design, with awareness of regulated MSB/VASP environments and the requirement to benchmark on synthetic or de-identified data rather than raw PII.
Culture & Benefits
- Autonomous, ownership-oriented, collaborative, and transparent working environment.
- Healthcare premiums are covered at approximately 100% for U.S. employees, with partial spouse and dependent coverage.
- U.S. employees can access vision and dental insurance.
- Potential equity, maternity and paternity leave after six months, and WeWork All Access Membership.
- Work-from-home and learning-and-development annual stipends, with the L&D stipend available after six months.
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