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Fraud Analytics Specialist

2 months ago

Reston, Virginia, United States Amivero Full time
About Amivero

At Amivero, our dedicated team of IT experts is committed to enhancing digital services for the federal government, focusing on areas such as national security and improved public services.

We adopt a human-centered, data-driven methodology that emphasizes a deep understanding of our clients' environments and challenges, collaborating with them to envision achievable outcomes.

Our technologists utilize modern, agile practices to design and implement equitable, accessible, and innovative data and software solutions that positively impact millions.

Role Overview

As a vital member of the Amivero team, you will leverage your understanding of customer needs, your enthusiasm for service, and your proactive approach to modernize critical government IT systems.

Key Responsibilities
  • Conduct data analysis on new account creation attempts and investigative findings to uncover fraudulent trends within partner ecosystems.
  • Utilize analytical insights to guide program strategies, adjust fraud policy configurations, and determine staffing requirements.
  • Collaborate with DevOps and SecOps teams to enhance data infrastructure and operationalize analytics programs.
  • Develop and maintain models to detect various types of identity fraud, including account takeover and synthetic identity fraud.
  • Monitor fraud analytics, including anomaly detection and social network analysis.
  • Integrate data from third-party providers to continuously refine fraud detection methodologies.
  • Assess fraud risks and establish control measures to mitigate vulnerabilities.
  • Create dashboards to report key performance indicators and suspicious activity alerts.
Qualifications

To be successful in this role, you will need:

  • US Citizenship to obtain Public Trust clearance.
  • A Bachelor's Degree coupled with a minimum of 10 years of relevant experience.
  • Expertise in Fraud/Identity operations.
  • Proficiency in Google Workspace, SQL, Python, and analytics tools.
  • Experience in data visualization and creating dynamic dashboards in Tableau.
  • Familiarity with both relational and non-relational database systems.
  • A keen interest in problem-solving and delivering optimal solutions.
  • Strong attention to detail, excellent communication skills, and organizational abilities.
  • The capacity to work independently while contributing to team objectives.
  • A willingness to learn and adapt to various data systems and software tools.
  • The ability to prioritize tasks effectively and communicate complex ideas clearly.