Fraud Prevention Specialist I

Job not on LinkedIn

🔥 12 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚨 AML and Financial Crime

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Support the maintenance, evolution, and scalability of the Relationship Intelligence platform • Serve as the technical data authority for the platform • Lead the evolution of data ingestion pipelines and database update processes • Ensure data quality, consistency, traceability, and governance • Advance graph-based 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 the 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 practices for the Relationship Intelligence platform during 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 primary data authority for the product

🎯 Requirements

• Strong 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 cloud expertise • 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 • Ability to work effectively in multidisciplinary environments • Excellent communication with technical and business stakeholders • Neo4j, Amazon Neptune, graph databases, graph analytics, Relationship Intelligence, and Entity Resolution are highly desirable differentiators • Experience with Fraud Analytics, Compliance Analytics, AML/CTF, Identity & Fraud, CI/CD for data platforms, Databricks, Spark, OpenSearch, Knowledge Graphs, GenAI applied to data, MCP, and LLM integration is desirable • Advanced experience with Python and SQL • Experience with cloud data architecture, preferably AWS • Experience with data orchestration tools • Knowledge of data modeling, Data Quality, and Data Governance • Graph Theory

🏖️ Benefits

• Experian’s people-first, inclusive, and purpose-driven culture • Equal Opportunity and Affirmative Action employer • Accommodation support for disabilities or special needs

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