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Financial Technology, B2B Payments, Credit Services, SaaS

Fraud Analyst

RemoteRemoteFull TimePosted 5 days ago

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Required skills

  • fraud mitigation
  • fraudulent trend recognition
  • customer applications
  • providers
  • fraud controls
  • data & trend identification
  • alert triage
  • risk scores
  • case management
  • customer monitoring

Nice to have

  • CAMS
  • CFCS

Role summary

The Fraud Analyst will support fraud mitigation efforts by analyzing data and utilizing analytic tools to identify and prevent fraud on customer applications and providers. This role involves performing manual reviews, managing case management, monitoring customer behavior, and aggregating internal data to improve fraud mitigation strategies. The analyst will collaborate with various departments to optimize fraud controls and communication, leveraging AI tools for efficiency. The position requires a Bachelor's degree or equivalent experience, 3+ years of banking or Fintech experience in an investigative and analytical role, and proficiency in research and analytical tools. The role operates in a fully remote environment.

Reporting to the Compliance Lead, the Fraud Analyst will provide fraud mitigation support through the utilization of analytic tools for fraudulent trend recognition, identifying and preventing potential fraud on customer applications and providers. The Fraud Analyst will work closely with the Compliance Lead to detect and mitigate new fraud trends, while aligning with outside departments to optimize the fraud controls and communication in place. The utilization of data & trend identification techniques will be key in the decision-making aspects of the position.

What You'll Do:

  • Perform manual reviews and analysis of new account applications and existing customer/provider accounts, identifying and preventing potential fraud

  • Perform alert triage utilizing risk scores and trend analysis in the decisioning of alerts

  • Manage case management for large scale fraud cases

  • Assist Leadership in ongoing identification of high-risk behaviors of the current customer base by performing customer monitoring, assessing transactional activity, and tracking customer behavior to ensure it aligns with their expected behavior and to identify fraud among existing customer base

  • Aggregate and analyze internal data to understand performance of fraud decisioning, finding insights from internal data sets to improve fraud mitigation strategies and customer evaluation rules to curb new fraud trends and patterns

  • Work closely with Customer Service, Operations and Compliance teams to optimize policies and controls to improve monitoring and due diligence of transactions, consumers and providers

  • Work closely with other departments in the identification, management and communication of fraud and ID Theft cases

  • Leveraging AI tools to improve review efficiency and quality, including AI-generated risk summaries, memo drafting support, and automated alert triage to enhance decision-making and workflow throughput

  • Assist with various fraud related duties as needed

  • Perform back-office functions related to research and resolution of fraudulent activity and applicable reporting

  • Support in ongoing bank audits, monitoring and testing, and risk assessments as applicable

  • Monitoring industry trends relative to money laundering or fraud schemes including detection and reporting of suspicious activity

  • Work effectively in a fully remote environment with teams spanning multiple time-zones

About You:

  • Bachelor's degree in related field; or equivalent job experience

  • 3+ years prior banking or Fintech experience, preferably in an investigative and analytical role or exposed to fraud-related behavior in Consumer and/or Business segments

  • Proficiency in online and internal application research across applicable systems and reporting and analytical tools

  • An innovative and creative mind looking to suggest new solutions to old problems

  • Detail-oriented, highly analytical and comfortable digging into data

  • Experience/familiarity with Slack, Apple MacOS and GSuite

Nice to Have:

  • CAMS, CFCS, or CFE certification a plus

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