Risk Intelligence Engineer

Kellton; United States; Remote; USD 180,000 - 200,000; Full time

Job summary

A leading company is seeking a Risk Intelligence Engineer, responsible for detecting and analyzing fraudulent activities across various channels. This fully remote role requires extensive experience in data integration, ETL development, and administration of Elasticsearch. Candidates must have a Bachelor’s degree in Computer Science or related fields and at least six years of experience in relevant domains.

Qualifications

• 6+ years of experience in Fraud, Data Science, Modelling or Risk areas.
• 3+ years experience with ETL Development and Elastic Stack.
• Advanced knowledge of Elasticsearch architecture.

Responsibilities

• Utilize programming for fraud detection and intelligence activities.
• Conduct research and analysis on worldwide fraud threats.
• Analyze available datasets to detect anomalies and map financial networks.

Skills

Data Integration

ETL in Python

Elastic Stack Administration

Support Experience

Advanced Lucene knowledge

DevOps - Docker or Kubernetes

Education

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

Tools

Red Hat Enterprise Linux

BI tools like Tableau and PowerBI

Job description

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 [e-mail] or can reach me at 201-744-2278

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: 201.744.2278

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

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