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Amivero

Fraud Data Analyst

Amivero · United States

  • Hybrid
  • Full-time
  • $100,000 / year
  • United States
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Job highlights

  • Develop fraud analytic models for government clients.
  • Analyze data to identify fraud trends and patterns.
  • Collaborate on data infrastructure and software engineering.
  • Build and maintain models for identity fraud detection.
  • Report on KPIs and suspicious activity alerts.

About the role

About Amivero

Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people. As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.

Special Requirements

  • US Citizenship, Green Card required to obtain Public Trust
  • Bachelor’s Degree

The Role: Fraud Data Analyst

Our Fraud Data Analyst will be instrumental in working with the federal government to develop fraud analytic models that identify suspicious activity for further investigation and possible intervention. You will implement and practice fraud monitoring, fraud analytics, fraud alerting, fraud prevention, and communication with customers and stakeholders to support the execution of the program.

Key Responsibilities

  • Conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends and patterns occurring within the partner ecosystem.
  • Use data analytics findings to inform program strategy, fraud policy configuration tuning, team staffing levels, and the acquisition of new technology to support evolving identity fraud threats.
  • Collaborate with DevOps and SecOps teams to improve data infrastructure, engineering, and software to deploy, scale, and operationalize the analytics program.
  • Develop and maintain fraud models to detect identity fraud, account takeover, and synthetic identity fraud.
  • Monitor fraud analytics that may include Identify and Entity Resolutions/Detection, Social Network Analysis, Unsupervised Monitoring.
  • Establish in-range and out-of-range anomaly behaviors and indicators that will trigger action.
  • Incorporate relevant data from third-party technology providers and tools to continuously improve and enhance fraud detection models.
  • Continuously monitor the performance of the fraud analytic models to ensure effectiveness as fraud schemes shift and evolve.
  • Support the development of dashboards to report key performance indicators and suspicious activity alerts for the operations team and leadership.
  • Conduct fraud risk assessments to understand program vulnerabilities, assess fraud risks, establish risk tolerances, and develop risk responses and mitigating control activities.
  • Develop a fraud response plan that includes scaling procedures for fraud control activities, scenario planning and response management for potential fraud events, and facilitation of exercises to test team readiness.

Ideal Candidate Profile

  • Seasoned in Fraud/Identity operations
  • Experience with Tableau, LexisNexis, SQL, and analytics tools
  • Experience with both relational and non-relational database systems
  • A passion for identifying problems and finding the best possible solution
  • Detail-oriented and have excellent verbal and written communications skills, analytical skills, and organization skills.
  • Ability to work autonomously and deliver high-quality work in pursuit of a common team goal
  • Interest and ability to learn and operate a variety of data systems and software tools used in investigations
  • Ability to adapt quickly to changing priorities, new policies and procedures, and adopt new tools
  • Ability to effectively prioritize work
  • Ability to succinctly articulate complex ideas and explain technical decisions to technical and non-technical audiences

Equal Opportunity Employer

EOE/M/F/VET/DISABLED. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Key skills/competency

Fraud Detection, Data Analytics, SQL, Tableau, LexisNexis, Risk Assessment, Fraud Prevention, Model Development, Identity Fraud, Government IT

Skills & topics

  • Fraud Data Analyst
  • Data Analysis
  • Fraud Detection
  • SQL
  • Tableau
  • LexisNexis
  • Risk Assessment
  • Government IT
  • Federal Government
  • Public Trust

How to get hired

  • Tailor your resume: Highlight fraud detection, data analytics, SQL, and Tableau experience to match job requirements.
  • Craft a compelling cover letter: Emphasize your passion for problem-solving and your ability to work autonomously.
  • Showcase relevant experience: Detail your background in Fraud/Identity operations and government IT projects.
  • Prepare for technical questions: Be ready to discuss your experience with relational/non-relational databases and fraud detection tools.
  • Demonstrate communication skills: Practice explaining complex technical decisions to both technical and non-technical audiences.

Technical preparation

Practice SQL queries for fraud pattern analysis.,Build sample dashboards in Tableau for fraud metrics.,Familiarize yourself with LexisNexis fraud tools.,Review concepts of relational and non-relational databases.

Behavioral questions

Describe a complex problem you solved.,How do you handle changing priorities?,Give an example of autonomous work.,How do you explain technical ideas simply?

Frequently asked questions

What are the basic requirements for the Fraud Data Analyst role at Amivero?
To be considered for the Fraud Data Analyst position at Amivero, you must be a US Citizen or Green Card holder, have a Bachelor's Degree, and be eligible for a Public Trust clearance. Experience in Fraud/Identity operations and proficiency with tools like Tableau, LexisNexis, and SQL are also essential.
What is the primary focus of the Fraud Data Analyst role at Amivero?
The primary focus is to work with the federal government to develop and implement fraud analytic models. This involves identifying suspicious activity, monitoring fraud trends, preventing fraud, and communicating findings to stakeholders to support program execution and modernization of government IT systems.
What kind of data analytics will a Fraud Data Analyst perform at Amivero?
A Fraud Data Analyst will conduct data analytics on new account creation attempts and investigative findings to identify fraudulent trends and patterns. They will also use these findings to inform program strategy, tune fraud policy configurations, and assess the need for new technologies.
What technical skills are most important for an Amivero Fraud Data Analyst?
Key technical skills include proficiency in SQL, experience with data visualization tools like Tableau, and familiarity with fraud detection platforms such as LexisNexis. Experience with both relational and non-relational databases is also crucial for this Fraud Data Analyst role.
How does Amivero support professional development for its Fraud Data Analysts?
Amivero's approach emphasizes a bias towards action and a passion for solutioning. The role requires an interest and ability to learn and operate a variety of data systems and software tools, suggesting a supportive environment for continuous learning and adaptation to new technologies and procedures.
What is the work environment like for a Fraud Data Analyst at Amivero?
The work environment at Amivero is described as human-centered and data-driven, leveraging modern, agile methods. As a Fraud Data Analyst, you'll collaborate with DevOps and SecOps teams and need the ability to work autonomously while contributing to common team goals.