Worth AI
Worth AI
Worth AI қаржылық қауіпсіздік, комплаенс және тәуекелдерді басқару салаларына арналған жасанды интеллект шешімдерін әзірлейді. Оның платформасы банктерге, финтех компанияларына және кредиттік одақтарға клиенттерді қабылдау, KYC және KYB талаптарына сәйкестікті қамтамасыз ету, беделді бақылау, кредиттік тәуекелді бағалау және кредит беруді автоматтандыру үдерістерінде қолдау көрсетеді. Worth Score™ сияқты өнімдер болжамды аналитиканы, тәуекелдерді нақты уақыт режимінде бақылауды және жасанды интеллект жасаған талдауларды біріктіріп, қаржы командаларына өтініш берушілерді тиімдірек бағалауға және кредит беру мен комплаенс бойынша негізделген шешімдер қабылдауға көмектеседі. Worth AI жасанды интеллект, қаржылық қызметтер, сақтандыру және консалтинг тоғысында жұмыс істейді.

Senior Data Engineer, Data Platform - Hybrid Orlando

Build Worth AI’s graph-powered data platform for entity resolution, ownership mapping, and risk decisions. Design scalable APIs, pipelines, and cloud-native services for real-time data processing.

Сипаттама

  • Create entity-resolution logic that produces unified Golden Records for businesses and individuals
  • Build and maintain a global business knowledge graph and ontology covering ownership chains, UBOs, and concealed risk relationships
  • Implement hybrid data storage using graph databases, document stores, and search platforms
  • Tune the platform for real-time risk assessment and millisecond traversal across multiple ownership levels
  • Develop scalable data services and APIs for data ingestion, transformation, and delivery
  • Build and operate batch and streaming pipelines with modern processing frameworks and AWS cloud-native tools
  • Manage platform reliability, performance, monitoring, alerting, and applicable on-call duties
  • Apply sound practices for data modeling, quality management, lineage, and governance
  • Partner with data scientists, analysts, and application engineers to turn requirements into platform capabilities
  • Advance automation and standardization through CI/CD, model-as-a-service patterns, and reproducible environments
  • Shape the data platform architecture with well-defined contracts, SLAs, and versioned APIs

Талаптар

  • Hands-on expertise with graph databases such as Neo4j, AWS Neptune, or TigerGraph, plus query languages including Cypher or Gremlin
  • Demonstrated experience with entity resolution or record linkage using tools such as Senzing, Quantexa, or custom probabilistic matching
  • Ability to create adaptable ontologies for changing regulatory data
  • Experience developing GraphQL or REST APIs optimized for graph traversal and deep hierarchical lookups
  • Background building centralized data platforms or data-as-a-service products at scale
  • Strong software engineering capability in at least one of Python, Java, Go, or Rust
  • Practical experience creating cloud-based data pipelines and ETL/ELT workflows; AWS experience is preferred
  • Experience with Spark or Flink, Kafka or Kinesis, Airflow or managed schedulers, and warehouses such as Snowflake, Redshift, BigQuery, or Databricks
  • Familiarity with CI/CD, Docker, Kubernetes, and Terraform
  • Strong emphasis on observability, resilience, and proactive fault detection
  • Ability to work across functions and communicate effectively with technical and non-technical partners
  • Experience supporting machine learning or real-time decisioning use cases is a plus
  • Knowledge of AML, CTF, and KYC/KYB data structures is a plus
  • Experience with global address normalization and geospatial indexing is a plus

Артықшылықтар

  • Medical, dental, and vision coverage
  • Retirement savings options including 401(k) or IRA
  • Life insurance
  • Flexible paid time off
  • Nine paid holidays
  • Family leave
  • Work-from-home support
  • Complimentary food and snacks at the Orlando location
  • Wellness resources

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