Fraud Prevention Specialist I

Job not on LinkedIn

🔥 9 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚨 AML and Financial Crime

👻 Ghost score 10%

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Experian

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

📋 Description

• Serve as the technical data authority for the Relationship Intelligence platform • Lead the evolution of ingestion pipelines and product database updates • Ensure data quality, consistency, traceability, and governance • Advance graph-oriented data modeling and complex relationship modeling • Support the platform’s scalability across new business verticals and products • Define and implement Data Quality, Observability, and Monitoring standards • Collaborate with Engineering, Product, Architecture, and Security teams • Support performance and cost optimization initiatives in an AWS environment • Contribute to new analytical capabilities, APIs, and relationship intelligence services • Participate in defining the future architecture of the data platform • Support integration strategies involving AI models, analytics, and intelligent agents • Establish data governance and quality for the Relationship Intelligence platform within the first 12 months • Industrialize database update pipelines • Advance platform observability and monitoring • Support expansion into new business verticals • Reduce operational risks related to data • Become the product’s primary data authority

🎯 Requirements

• Solid experience in Data Engineering • Experience serving as a technical data authority or data technical lead • Experience working in high-volume environments • Experience with cloud data architecture • Advanced Python • Advanced SQL • Apache Airflow • Git • REST APIs • Advanced AWS • Amazon S3 • IAM • Amazon CloudWatch • Amazon DynamoDB • Amazon Athena or equivalent analytics services • ETL and ELT • Data Quality • Data Lineage • Data Governance • Data modeling • Data observability • Pipeline optimization • Strong analytical skills • Architectural perspective • Technical autonomy • Ability to influence decisions • Comfortable working in multidisciplinary environments • Excellent communication with technical and business teams • Graph Theory • Neo4j, Amazon Neptune, graph databases, graph analytics, relationship intelligence, and entity resolution are highly desirable differentiators • Fraud analytics, compliance analytics, AML/CFT, identity and fraud, CI/CD for data platforms, Databricks, Spark, OpenSearch, knowledge graphs, GenAI applied to data, MCP, and LLM integration are desirable

🏖️ Benefits

• Employees can work remotely • Inclusive and purpose-driven culture • Equal Opportunity and Affirmative Action employer • Accommodation support for disabilities or special needs

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