Risk Intelligence Engineer

Direct message the job poster from Kellton

Sr. Technology Recruiter and Business Developer | Top Performer

Hello - My client is looking for a Risk Intelligence Engineer , details below. If interested, please email your updated resume to or can reach me at

Contracting -100% Remote

W2 only (No 3rd party companies )

High Level Notes:

The ideal candidate should be experienced in data integration, writing ETL code in Python to load data into Elasticsearch and other fraud applications. Candidates should have experience with DevOps practices and tools like Docker or Kubernetes. Experience supporting applications in a production environment, especially managing elastic clusters, and troubleshooting potential issues within the elastic stack is also important.

Must Have’s:

Data Integration - Writing ETL in Python (3+ years)

Elastic Stack Administration - Specifically around Elastic Search + Kibana

• Managing Elastic Clusters
• Administration of Red Hat Enterprise Linux

Support Experience - Troubleshoot + Resolve issues, monitor + manage support tickets.

Experience in Fraud, Data Science, Modelling or Risk (6+ years)

Experience with:

• Containers
• Lucene (programming advanced queries + procedures)
• DevOps - Docker or Kubernetes

Responsibilities:

Utilize programing for fraud detection and intelligence activities across various tools and data elements which analyze and identify fraudulent activities and transactions across various channels and ensure proper mitigation efforts are taken on any significant intelligence leads related to cross channel fraud and risk issues.

Program advanced queries and procedures in Lucene and Python to advance the tactical and strategic mission of Risk Intelligence.

Conduct research and analysis on worldwide fraud threats against the company and its clients.

Analyze available datasets to identify trends and patterns, detect anomalies, and map financial and criminal networks through multiple tools such as search engines, proprietary methods, and tools to manipulate large data sets.

Requirements:

Bachelor’s Degree in Computer Science, Computer Engineering or related discipline.

Advanced Lucene and Python knowledge.

Advanced knowledge of Elasticsearch architecture

3+ experience with ETL Development

Experience in the administration of Red Hat Enterprise Linux

Analytical professional with 6+ years of experience in Fraud, Data Science, Modelling or Risk areas

Experience working with BI tools such as Tableau and PowerBI preferred (but not required)

Thanks

Amita Tatiparti

Sr. Technology Recruiter and Business Developer

Harborside 5, Jersey City, NJ 07311

D:

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

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