Jamie Christ
AML & Fraud Analyst • Financial Crimes Compliance • B.S. Information Technology
About Me
I focus on Anti-Money Laundering (AML), Fraud Prevention, and Financial Crimes Compliance, bringing a mix of policy awareness, pattern recognition, and investigative problem-solving to every case. My background in customer verification and fraud detection taught me how to review sensitive information objectively and escalate risks, while my IT training gave me a strong understanding of systems, security, and digital risk.
Through my degree in Information Technology (WGU) and certifications such as Security+ and ITIL 4, I’ve built a foundation in recognizing financial and digital threats, understanding compliance frameworks, and documenting incidents accurately. This technical perspective complements my ability to enforce regulations, detect suspicious patterns, and protect institutions from financial crime.
My goal is to contribute to a remote AML/Fraud Analyst or Financial Crimes Compliance team where I can apply my investigative mindset, compliance knowledge, and risk-mitigation skills to support transaction monitoring and regulatory reporting.
- AML Concepts, KYC/CDD, Sanctions Screening Basics
- Fraud Detection & Escalation Workflows
- Policy Enforcement & Regulatory Compliance
- Case Documentation & Narrative Reporting
- Case Management & Workflow: ServiceNow, Freshdesk, Jira
- Collaboration: Microsoft 365, Outlook, Teams, Zoom
- Data & Analysis Tools (Intermediate): Excel, Google Sheets, SQL
- Windows Server & Active Directory
- Networking Basics: DNS, DHCP, NAT
- Security Concepts: Access Controls, Audit Logs, Compliance Frameworks (BSA, NIST)
- ITIL® 4 Foundations – structured support & escalation practices
Certifications
- CompTIA A+, Network+, Security+, Project+
- ITIL® 4 Foundation
- AWS Certified Cloud Practitioner
- Google IT Support & Data Analytics
- LPI Linux Essentials
Case Studies
How to Spot Email Job Fraud – LinkedIn Case Study
Investigated a suspicious “job offer” email, documented scam tactics, and created an educational LinkedIn post with visuals to help others identify fraud.
- Analyzed a fraudulent remote job offer email, verifying details such as domain registration, contact info, and stock images.
- Identified and explained common scam tactics (impersonation of real businesses, too-good-to-be-true wages, off-platform messaging).
- Created an educational LinkedIn post with annotated screenshots (fake number, stock photos, scam email) to raise awareness among job seekers.
- Engaged with the community by sharing best practices and encouraging discussion of similar experiences.
Phishing & Fraud Case Review (Mock)
Independently analyzed and documented phishing and fraud scenarios to strengthen awareness of digital risks and user protection strategies.
- Analyzed sample user reports of suspicious messages and transactions.
- Identified patterns of phishing attempts and fraud risks using contextual clues.
- Created escalation notes with recommended actions to prevent future abuse.
Trust & Safety Moderation Simulation – Policy Enforcement
Reviewed and enforced community guidelines to practice content decisions and policy application
- Reviewed sample user-generated content against community guidelines.
- Documented rationale for each decision with clear case notes for audit and escalation.
- Practiced balancing empathy with strict policy enforcement to protect users.
User Privacy & Data Handling Simulation
Simulated review of scenarios involving sensitive user data to practice privacy and compliance decision-making.
- Reviewed mock scenarios involving sensitive user information.
- Applied principles of privacy, compliance, and responsible data handling.
- Practiced writing clear notes to ensure transparency and auditability.
Contact
If you would like to discuss potential opportunities or connect professionally, please feel free to reach out via LinkedIn or email.