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Текст:
Hirify AI/Оригинал
TL;DR
Senior Fraud Investigations Analyst (Cybersecurity): Leading account takeover investigations and analyzing large datasets to identify coordinated fraud campaigns, improve detection systems, and strengthen risk signals with an accent on SQL/Python analysis, machine learning outputs, and AI/LLM-assisted investigations. Focus on uncovering complex fraud patterns, developing detection logic and playbooks, validating analytical outputs, and driving cross-functional improvements to fraud prevention systems.
Location: McLean, Virginia; full-time in-office attendance required five days per week
Annual base salary: $90,000–$120,000 USD, excluding bonus, equity, and benefits.
Company
hirify.global provides a digital identity wallet and identity verification technology used by consumers, government agencies, healthcare organizations, and consumer brands.
What you will do
Lead complex account takeover investigations involving multiple accounts and organized fraud activity.
Analyze large datasets with SQL, Python, or similar tools to identify trends, anomalies, attack patterns, and coordinated campaigns.
Use fraud detection tools, machine learning outputs, and risk-scoring systems to conduct investigations and improve signal quality.
Own investigations from detection through resolution, documenting findings and recommendations and serving as an escalation point for high-severity or ambiguous cases.
Identify gaps in detection rules, models, and workflows; develop investigation playbooks and analytical approaches for ATO detection.
Partner with engineering, data, and product teams while reporting on fraud trends, detection performance, and operational metrics.
Requirements
Bachelor’s degree from an accredited institution; quantitative fields such as Economics, Computer Science, Statistics, or Mathematics are strongly preferred.
4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management focused on account takeover attacks; typically 4–8 years total experience and fewer than 10 years overall.
2+ years of experience using SQL, Python, or similar tools to analyze data and drive investigations.
2+ years of hands-on experience with fraud detection tools, machine learning models, or risk-scoring methodologies.
2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data.
Experience analyzing fraud trends beyond individual cases, including pattern detection or ring analysis.
Experience using AI/LLM tools to enhance data analysis and investigations, with the ability to validate and apply outputs effectively.
Nice to have
Experience at a fintech or technology company or reputable financial institution.
Experience influencing fraud detection logic, models, or rule systems.
Familiarity with AI/ML techniques applied to fraud detection and risk analysis.
Ability to translate analytical findings into actionable improvements for product, engineering, or risk systems.
Culture & Benefits
Full-time, in-office work culture with five days per week in the McLean office.
Medical, dental, vision, HSA, FSA, commuter benefits, life and disability insurance, and 401(k) with company match.
Unlimited paid time off subject to policy, including eight company-wide holidays, plus parental leave.
Learning and development benefit, employee assistance, wellbeing and childcare discounts, pet insurance, and travel assistance.
Equal employment opportunity workplace with reasonable accommodation for qualified employees with protected disabilities.
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