Senior Fraud Investigations Analyst

Summary

Senior Fraud Investigations AnalystID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is responsible for leading investigations into account takeover (ATO) activity, identifying fraud patterns at scale, and strengthening detection strategies.We are seeking a highly skilled analyst who can independently analyze large datasets, uncover coordinated fraud campaigns, and drive improvements in detection systems. This role requires moving beyond case-by-case investigation into trend analysis, signal development, and data-driven decision making.This role is based out of our McLean, VA office and requires full-time in-office attendance.ResponsibilitiesLead complex account takeover (ATO) investigations, including multi-account and organized fraud activityAnalyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patternsUse fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigationsIndependently own investigations from detection through resolution, including clear documentation and recommendationsIdentify gaps in detection logic and contribute to improvements in rules, models, and workflowsPartner with engineering, data, and product teams to enhance fraud detection capabilities and signal qualityAct as an escalation point for high-severity or ambiguous fraud casesDevelop and refine investigation playbooks and analytical approaches for ATO detectionSupport reporting and analysis of fraud trends, detection performance, and operational metricsLeverage AI/LLM tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source dataBasic QualificationsBachelor's degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks (typically 4–8 years total experience; candidates should have <10 years overall)2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring dataDemonstrated experience analyzing fraud trends beyond individual case investigations (e.g., pattern detection, ring analysis)Experience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectivelyPreferred QualificationsExperience at a fintech company, technology company, or reputable financial institutionStrong experience analyzing organized fraud rings or large-scale ATO campaignsExperience influencing fraud detection logic, models, or rule systemsFamiliarity with AI/ML techniques applied to fraud detection and risk analysisAbility to translate analytical findings into actionable improvements for product, engineering, or risk systemsThe annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.IDMe offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.Pay Range $90,000 —$120,000 USDIDMe maintains a work environment free from discrimination, where employees are treated with dignity and respect. All IDMe employees share in the responsibility for fulfilling our commitment to equal employment opportunity. IDMe does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. IDMe adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, IDMe's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.Please review our Privacy Policy, including our CCPA policy, at id.me/privacy . If you provide IDMe with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.IDMe participates in E-Verify.

Job Description

Senior Fraud Investigations AnalystID.me is looking for a Senior Fraud Investigations Analyst to join our organization as an execution-focused individual contributor. This role is responsible for leading investigations into account takeover (ATO) activity, identifying fraud patterns at scale, and strengthening detection strategies.We are seeking a highly skilled analyst who can independently analyze large datasets, uncover coordinated fraud campaigns, and drive improvements in detection systems. This role requires moving beyond case-by-case investigation into trend analysis, signal development, and data-driven decision making.This role is based out of our McLean, VA office and requires full-time in-office attendance.ResponsibilitiesLead complex account takeover (ATO) investigations, including multi-account and organized fraud activityAnalyze large datasets using SQL, Python, or similar tools to identify trends, anomalies, and attack patternsUse fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigationsIndependently own investigations from detection through resolution, including clear documentation and recommendationsIdentify gaps in detection logic and contribute to improvements in rules, models, and workflowsPartner with engineering, data, and product teams to enhance fraud detection capabilities and signal qualityAct as an escalation point for high-severity or ambiguous fraud casesDevelop and refine investigation playbooks and analytical approaches for ATO detectionSupport reporting and analysis of fraud trends, detection performance, and operational metricsLeverage AI/LLM tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source dataBasic QualificationsBachelor's degree from an accredited institution; strong preference for quantitative fields such as Economics, Computer Science, Statistics, Mathematics, or similar4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks (typically 4–8 years total experience; candidates should have <10 years overall)2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring dataDemonstrated experience analyzing fraud trends beyond individual case investigations (e.g., pattern detection, ring analysis)Experience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectivelyPreferred QualificationsExperience at a fintech company, technology company, or reputable financial institutionStrong experience analyzing organized fraud rings or large-scale ATO campaignsExperience influencing fraud detection logic, models, or rule systemsFamiliarity with AI/ML techniques applied to fraud detection and risk analysisAbility to translate analytical findings into actionable improvements for product, engineering, or risk systemsThe annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role.IDMe offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD&D insurance, 401(k) with company match, parental leave, ability to participate in unlimited paid time off subject to the terms and conditions of the PTO policy, including 8 company wide holidays, short and long-term disability insurance, accident and critical illness insurance, referral bonus policy, employee assistance program, pet insurance, travel assistant program, wellbeing and childcare discounts, benefit advocates, and a learning and development benefit.Final offers may vary from the amount listed based on qualifications, professional experiences, skills, education, relevant training, geographic location, and other job related factors.Pay Range $90,000 —$120,000 USDIDMe maintains a work environment free from discrimination, where employees are treated with dignity and respect. All IDMe employees share in the responsibility for fulfilling our commitment to equal employment opportunity. IDMe does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. IDMe adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, IDMe's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.Please review our Privacy Policy, including our CCPA policy, at id.me/privacy . If you provide IDMe with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.IDMe participates in E-Verify.