
11 - 50 employees
💼 Consulting
🛡️ Insurance
🤖 Artificial Intelligence
Consulting • Insurance • Artificial Intelligence
Worth AI is a company that specializes in enhancing financial security and risk management through advanced AI-driven solutions. Their platform offers a suite of tools designed for seamless onboarding, compliance, and credit risk assessment. They help banks, fintech companies, and credit unions streamline operations by automating processes such as KYC/KYB compliance, reputation monitoring, and automated credit underwriting. Worth AI's technology provides real-time risk monitoring, predictive analytics, and AI-generated insights to improve decision-making, safeguard institutions, and boost revenue. Key offerings include Worth Score™, an AI-driven credit score solution, and unique AI underwriting systems that enhance the accuracy and efficiency of financial assessments.
🔥 0 minutes ago
Airflow
Amazon Redshift
AWS
BigQuery
Cloud
Docker
ETL
GraphQL
Java
Kafka
Kubernetes
Neo4j
Python
Rust
Spark
Terraform
Go
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11 - 50 employees
💼 Consulting
🛡️ Insurance
🤖 Artificial Intelligence
Consulting • Insurance • Artificial Intelligence
Worth AI is a company that specializes in enhancing financial security and risk management through advanced AI-driven solutions. Their platform offers a suite of tools designed for seamless onboarding, compliance, and credit risk assessment. They help banks, fintech companies, and credit unions streamline operations by automating processes such as KYC/KYB compliance, reputation monitoring, and automated credit underwriting. Worth AI's technology provides real-time risk monitoring, predictive analytics, and AI-generated insights to improve decision-making, safeguard institutions, and boost revenue. Key offerings include Worth Score™, an AI-driven credit score solution, and unique AI underwriting systems that enhance the accuracy and efficiency of financial assessments.
• Architect and implement entity resolution logic to de-duplicate and link disparate data into unified Golden Records • Design and maintain a global business knowledge graph and ontology for ownership chains, UBOs, and hidden risk relationships • Implement hybrid storage combining graph databases with document and search stores • Optimize real-time risk assessment and multi-level ownership traversal for automated onboarding decisions • Design and build scalable data services and APIs for ingesting, transforming, and serving data • Develop and maintain batch and streaming data pipelines using modern frameworks and AWS cloud-native tooling • Own platform reliability, performance, monitoring, alerting, and on-call activities where appropriate • Implement data modeling, quality, lineage, and governance best practices • Collaborate with data scientists, analysts, and application engineers to translate needs into platform capabilities • Drive automation and standardization through CI/CD, model as a service, and reproducible environments • Define and evolve the data platform architecture with contracts, SLAs, and versioned APIs
• Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin • Proven experience with Entity Resolution or Record Linkage (e.g., Senzing, Quantexa, or custom probabilistic matching models) • Ability to design flexible ontologies for evolving regulatory data • Experience building GraphQL or REST APIs optimized for graph traversals and deep-tree lookups • Experience building centralized data platforms or data-as-a-service offerings at scale • Strong software engineering skills in Python, Java, Go, or Rust • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider; AWS preferred • Experience with Spark/Flink, Kafka/Kinesis, Airflow or managed schedulers, and data warehouses such as Snowflake, Redshift, BigQuery, or Databricks • Familiarity with CI/CD, Docker, Kubernetes, and Terraform • Strong focus on observability, resilience, and early warning signals • Comfort collaborating cross-functionally and communicating with technical and non-technical stakeholders • Nice to have: Background supporting machine learning or real-time decisioning use cases • Nice to have: Understanding of AML, CTF, and KYC/KYB data structures, including LEIs and ISO 20022 • Nice to have: Experience with global address normalization and geospatial indexing
• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance • Flexible Paid Time Off • 9 paid Holidays • Family Leave • Work From Home • Free Food & Snacks (Orlando) • Wellness Resources
Apply Now🔥 1 hour ago
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