# Senior Fraud Investigations Analyst

**Company:** [Idme](https://hotfix.jobs/companies/idme)
**Location:** McLean, VA
**Role:** Other
**Salary:** $90k – $120k/yr
**Experience:** 4+ years
**Skills:** SQL, Python, Machine Learning, Fraud Detection Tools, Risk Scoring, AI, LLMs, Data Analysis, Threat Intelligence, Behavioral Analysis
**Posted:** 2026-04-15

> Leads complex account takeover investigations, analyzes large datasets with SQL/Python to uncover fraud patterns, and improves detection systems. Requires 4+ years in fraud/cybersecurity and bachelor's in quantitative field.

## Job Description

## Responsibilities

- Lead complex account takeover (ATO) investigations, including multi-account and organized fraud activity
- Analyze large datasets using **SQL**, **Python**, or similar tools to identify trends, anomalies, and attack patterns
- Use fraud detection tools, machine learning outputs, and risk-scoring systems to drive high-quality investigations
- Independently own investigations from detection through resolution, including clear documentation and recommendations
- Identify gaps in detection logic and contribute to improvements in rules, models, and workflows
- Partner with engineering, data, and product teams to enhance fraud detection capabilities and signal quality
- Act as an escalation point for high-severity or ambiguous fraud cases
- Develop and refine investigation playbooks and analytical approaches for ATO detection
- Support reporting and analysis of fraud trends, detection performance, and operational metrics
- Leverage **AI/LLM** tools to analyze large datasets, identify fraud patterns, and improve investigation speed and accuracy while validating outputs against source data

## Basic Qualifications

- 4+ years of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with a focus on account takeover (ATO) attacks
- 2+ years of experience using **SQL**, **Python**, or similar tools to analyze data and drive investigations
- 2+ years of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
- 2+ years of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
- Demonstrated 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 effectively

## Preferred Qualifications

- Experience at a fintech company, technology company, or reputable financial institution
- Strong experience analyzing organized fraud rings or large-scale ATO 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 actionable improvements for product, engineering, or risk systems

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