Fraud Analyst I

American Credit AcceptanceSpartanburg, SC
Onsite

About The Position

The Fraud Analyst I is responsible for creating a robust infrastructure by leveraging data to identify, analyze, and respond to fraud risk across dealer and account populations. This role will transform data into actionable insights by identifying trends, anomalies, and emerging risk indicators, and effectively communicating findings to varied audiences. Through a data-driven approach, the analyst will identify fraud patterns, recommend risk-mitigating strategies, support investigative efforts, and assist in prioritizing fraud investigations at both the dealer and account level. The analyst will design and test fraud methodology, document investigative activity, and prepare written reports and presentations for internal and external decision-making. The analyst will also support and execute fraud-related projects, contribute to the development of new monitoring methodologies, and continuously enhance existing reporting and risk identification frameworks as fraud risks evolve.

Requirements

  • Strong analytical and critical thinking skills with the ability to interpret complex data and identify meaningful trends.
  • Ability to translate data into clear insights and communicate effectively to both technical and non-technical audiences.
  • Demonstrated problem-solving skills with the ability to recommend and drive actionable solutions.
  • Ability to make sound, data-driven decisions in ambiguous or evolving risk scenarios.
  • Strong attention to detail, organization, and time management skills.
  • Proficiency in Microsoft Office, particularly Excel (data analysis, trend identification, reporting).
  • Ability to understand and apply policies, regulations, and internal controls.

Nice To Haves

  • Foundational understanding of fraud risk, investigative concepts, or financial services.
  • Degree in related field or equivalent work experience preferred but not required.
  • Familiarity with SQL and/or AWS-based systems, including the ability to write and interpret basic-level code or queries to support fraud analysis, reporting, and process automation.

Responsibilities

  • Analyze large and complex datasets to identify fraud patterns, emerging trends, and potential risk indicators.
  • Interpret data and translate findings into clear, actionable insights tailored to different audiences (e.g., investigators, leadership, cross-functional partners).
  • Identify gaps in existing fraud detection methodologies and recommend enhancements or new approaches based on observed risk trends, best practices and updates in laws and compliance regulations.
  • Evaluate risk indicators and make informed decisions on when to initiate dealer-level and account-level fraud investigations.
  • Leverage established fraud frameworks while applying critical thinking to adapt to new or evolving risk scenarios.
  • Ensure relevant data and supporting documentation are collected, validated, and appropriately escalated.
  • Apply investigative techniques to research suspicious behaviors and unusual activity across accounts and dealer relationships, and proactively adjust your analytical approach to better identify evolving patterns and emerging risks.
  • Provide analytical support to fraud investigators by supplying insights, trends, and supporting data to inform investigative directions and outcomes.
  • Assist in identifying root causes of fraud events and contribute to recommendations that prevent future occurrences.
  • Support and manage fraud-related projects, including process improvements, reporting enhancements, and risk detection initiatives.
  • Act as a problem solver by identifying inefficiencies, proposing solutions, and driving actionable outcomes.
  • Utilize existing tools, reporting, and methodologies while proactively developing new materials as fraud risks evolve or new patterns emerge.
  • Regularly evaluate data sources and other fraud analytic materials to maintain accuracy, relevance, and alignment with current practices.
  • Evaluate business processes for fraud-related risk exposure and control effectiveness.
  • Prepare clear, well-supported, data-driven recommendations to mitigate identified risks and improve fraud prevention efforts.
  • Partner with stakeholders to implement and track effectiveness of recommended solutions.
  • Prepare structured, accurate reports and presentations that clearly communicate findings, trends, risks, and recommended actions.
  • Adapt communication style and level of detail based on the intended audience.
  • Maintain accurate documentation of analytical activities, methodologies, and decision rationale.
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