Senior Fraud Investigations Analyst (Cybersecurity)

Location: McLean, Virginia, United States; full-time in-office attendance is required five days per week.

Salary: $90,000–$120,000 USD annual base salary, 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 brands.

What you will do

• Lead complex account takeover investigations involving multiple accounts and organized fraud activity.
• Analyze large datasets with SQL, Python, and similar tools to identify trends, anomalies, and attack patterns.
• Use fraud detection tools, machine learning outputs, and risk-scoring systems to conduct investigations.
• Own investigations from detection through resolution and document findings and recommendations.
• Identify gaps in detection logic and improve rules, models, workflows, and investigation playbooks.
• Partner with engineering, data, and product teams while supporting fraud trend reporting and high-severity case escalations.

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.
• 2+ years of experience using SQL, Python, or similar tools for data analysis and investigations.
• 2+ years of hands-on experience with fraud detection tools, machine learning models, or risk-scoring methodologies.
• Experience interpreting fraud indicators, behavioral signals, or transaction-monitoring data and analyzing trends beyond individual cases.
• Experience using AI/LLM tools for investigations and validating their outputs against source data.

Nice to have

• Experience in fintech, technology companies, or reputable financial institutions.
• Experience analyzing organized fraud rings or large-scale account takeover campaigns.
• 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 improvements for product, engineering, or risk systems.

Culture & Benefits

• Full-time, in-office work environment.
• Medical, dental, and vision insurance with health savings and flexible spending accounts.
• 401(k) with company match, parental leave, disability insurance, and life insurance options.
• Unlimited paid time off subject to policy, including eight company-wide holidays.
• Learning and development benefit, employee assistance program, wellbeing resources, and childcare discounts.