# Fraud Investigations Analyst

**Company:** [Idme](https://hotfix.jobs/companies/idme)
**Location:** McLean, VA
**Role:** Security Engineering
**Salary:** $80k – $93k/yr
**Experience:** 2+ years
**Skills:** SQL, Python, Fraud Detection Tools, Risk-Scoring Systems, Ai/Llm Tools, Machine Learning Models, Behavioral Analysis, Transaction Monitoring, Threat Intelligence, Data Analysis
**Posted:** 2026-04-15

> Investigates account takeover activity, analyzes fraud patterns across accounts using SQL/Python/AI tools, and supports detection strategy improvements to protect users. Requires 2+ years in fraud/risk and bachelor's degree.

## Job Description

## Responsibilities
- Investigate account takeover (ATO) activity using fraud indicators, behavioral signals, and transaction data
- Analyze patterns across multiple accounts to identify coordinated or emerging fraud trends (not just single-account reviews)
- Use **SQL**, **Python**, or similar tools to query datasets and support investigations
- Leverage fraud detection tools and risk-scoring systems to identify suspicious activity
- Execute investigations and document findings, escalating higher-risk or complex cases as needed
- Support tuning and optimization of fraud detection rules, alerts, and signal usage
- Partner with cross-functional teams to improve fraud detection coverage and data quality
- Monitor trends in ATO activity and contribute to ongoing detection strategy improvements
- Leverage **AI/LLM** tools to accelerate investigations, including querying data, identifying patterns, and summarizing fraud activity across accounts

## Basic Qualifications
- **Bachelor's degree** from an accredited institution; preferred fields include quantitative disciplines such as Economics, Computer Science, Statistics, Mathematics, or similar
- **2+ years** of experience in fraud investigations, threat intelligence, cybersecurity, or risk management, with exposure to account takeover (ATO)
- **1+ years** of experience using **SQL**, **Python**, or similar tools to analyze fraud data or investigate trends
- **1+ years** of hands-on experience using fraud detection tools, machine learning models, or risk-scoring methodologies
- **1+ years** of experience interpreting fraud indicators, behavioral signals, or transaction monitoring data
- Familiarity with using **AI/LLM** tools (e.g., ChatGPT, Claude) to support data analysis or investigative workflows

## Preferred Qualifications
- Experience working at a fintech company, technology company, or reputable financial institution
- Experience analyzing organized fraud rings or large-scale fraud patterns
- Familiarity with machine learning–driven fraud detection systems or **AI**-assisted analysis

## Compensation
**Pay Range**: $80,000—$93,000 USD (annual base salary; does not include bonus, equity, or benefits)

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