Best Egg

Fraud Insights & Emerging Risks Analyst

Best Egg

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $100,000 - $120,000 per year

Job Level

About the role

  • Monitor industry news, fraud forums, consortium data, and internal trends to identify new or evolving fraud threats.
  • Support enterprise bot-management and act as the Fraud Operations liaison during bot-related incidents, proactively identifying risks, assisting with triage, validating impact, and coordinating rapid remediation steps.
  • Assess and identify risks, including recommending mitigation plans to address impostor-related threats, such as fake websites, phishing emails, scams, and other social-engineering–based attacks.
  • Evaluate, identify and make recommendations to mitigate emerging 1st-party fraud behaviors, including credit washing, dispute abuse, and intentional misrepresentation - to assess potential vulnerabilities within our products and processes.
  • Conduct deep-dive investigations into specific fraud patterns or unusual activity.
  • Summarize findings, prepare briefings, and provide recommendations to Operations leaders, Fraud Strategy and Information Security teams.
  • Analyze fraud risk and support projects around detection gaps, operational processes and control performance to identify improvement opportunities.
  • Help gather requirements and test new controls, which may include rule changes to ensure effective implementation.
  • Research, analyze, and compare existing vendor capabilities and performance, identify insights, and make recommendations to improve fraud detection and prevention effectiveness.
  • Assist in evaluating how emerging fraud patterns could impact current products or processes.
  • Assist in creating analysis and business cases for investments in fraud-prevention tools, automation, and emerging technologies to support strategic decision-making.
  • Contribute to documentation, playbooks, and communications related to fraud changes or enhancements.
  • Build reports and dashboards that track fraud KPIs and control effectiveness.

Requirements

  • 1–3+ years of experience in fraud analysis, risk analytics, financial crime, or related work.
  • Strong analytical skills and comfort working with data (Excel, BI tools, etc.).
  • Understanding of common fraud types (identity fraud, ATO, synthetic IDs, social engineering, etc.).
  • Ability to research independently and summarize findings clearly.
  • Strong communication skills and comfort working cross-functionally.
  • Detail-oriented, proactive, and eager to learn.
  • Experience in consumer lending, banking, fintech, or payments (preferred).
  • Familiarity with fraud tools or vendors (e.g., identity verification, device intelligence) (preferred).
  • Exposure to fraud rules engines or case management systems (preferred).
  • Bachelor’s degree in a related field (Criminal Justice, Analytics, Business, etc.) (preferred).
Benefits
  • Pre-tax and post-tax retirement savings plans with a competitive company matching program
  • Generous paid time-off plans including vacation, personal/sick time, paid short-term and long-term disability leaves, paid parental leave, and paid company holidays
  • Multiple health care plans to choose from, including dental and vision options
  • Flexible Spending Plans for Health Care, Dependent Care, and Health Reimbursement Accounts
  • Company-paid benefits such as life insurance, wellness platforms, employee assistance programs, and Health Advocate programs
  • Other great discounted benefits include identity theft protection, pet insurance, fitness center reimbursements, and many more!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
fraud analysisrisk analyticsfinancial crimedata analysisfraud detectionfraud preventionreportingdashboard creationdata validationmitigation planning
Soft skills
analytical skillscommunication skillsdetail-orientedproactiveindependent researchcross-functional collaborationeager to learn