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Zero Hash
Zero Hash
51 – 200 Darbinieki
H1B vīzas sponsorsFintechKriptovalūtasWeb 3
Zero Hash builds API-first infrastructure that helps fintech, payments, and banking companies add crypto and stablecoin products to their platforms. Its turnkey regulatory tools support products such as investment services, trading platforms, payment gateways, and branded offerings, with custody, liquidity, and settlement capabilities. The company says its infrastructure supports more than 60 digital assets and operates in over 200 countries.
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Vakances uzņēmumā

Senior Graph and Data Engineer

Build identity and knowledge graphs for Zero Hash’s crypto and stablecoin infrastructure. Automate permissions, compliance, and agent authorization across financial systems.

GBApvienotā KaralisteNLNīderlandeUSAmerikas Savienotās ValstisILIlinoisaNYŅujorkaAttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
Python

Apraksts

  • Build an entity and knowledge graph across Intelligence Core connectors to resolve identities.
  • Lead a Finance and Compliance pilot to create shared tagging models and metrics.
  • Maintain registers for shadow AI and agent identities, defining ownership, access controls, and data permissions.
  • Create privacy-preserving identity resolution pipelines across Slack, Jira, and Ironclad, using canonical IDs.
  • Develop graph-based correlation capabilities and baseline metrics for operational throughput and SAR false positives.
  • Connect operational agents to the shared graph for unified event tracking, reasoning, and real-time authorization.
  • Design graph architecture, schemas, time-based permissions, and provenance tracking.
  • Protect data accuracy with bitemporal models, automated drift detection, and historical replay.
  • Model delegation chains and agent credentials tied to human principals.
  • Apply machine learning and graph-native methods to analyze multi-agent behavior, detect anomalies, and trace shared lineage or prompts.
  • Assess and integrate emerging research in graph technology and identity resolution.
  • Meet regulatory requirements and apply jurisdictional data partitioning and privacy-by-design standards.

Prasības

  • Hands-on experience with entity resolution, identity systems, or knowledge graph modeling.
  • Strong Python skills and production experience in graph or relational data engineering.
  • Applied machine learning for large-scale identity resolution, potentially including embedding- and LLM-based matching, self-supervised learning, and active-learning loops.
  • Benchmark methods on synthetic or de-identified data before relying on them; raw PII is excluded from evaluations.
  • Ability to design schemas and APIs for varied human and machine users.
  • Comfort collaborating with Finance and Compliance on a live data pilot from the first weeks.
  • A consistent practice of building security and privacy into systems by design.
  • Experience designing identity layers for an MSB or VASP environment.
  • Comfort creating foundational systems before their users are established.

Priekšrocības

  • Health insurance: Zero Hash covers nearly all employee premiums and part of spouse or child premiums in the United States.
  • Vision and dental insurance in the United States.
  • Opportunity to earn equity.
  • Maternity and paternity leave after six months.
  • WeWork All Access membership.
  • Annual work-from-home stipend.
  • Annual learning and development stipend after six months.

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