Senior Fraud & AML Analyst: Triage, Investigations, Controls

Rocket Money; Oregon; Hybrid; USD 100,000 - 125,000; Full time

Benefits offered by this job

Health, Dental & Vision Plans

Life Insurance

Long/Short Term Disability

401k Matching

Stock Purchase Program

Job summary

Rocket Money is hiring a Senior Analyst, Fraud and AML to own triage of alerts, investigate complex cases, and drive improvements to rules and processes. You will work across fraud, AML, and banking partners, documenting decisions for audits and regulatory reviews.

In this role you’ll help sharpen controls, reduce false positives, and support bank partner investigations. A strong emphasis on data-driven decision making and collaboration with product, engineering, and operations is required.

Qualifications

• Hands-on fraud/AML triage and investigation experience.
• Strong analytical skills with evidence-based decisions.
• Excellent written and verbal communication.
• Experience coordinating with banks/partners and documenting cases.
• Familiarity with US regulatory landscape and SAR processes.

Responsibilities

• Triage incoming fraud/AML alerts and prioritize by risk.
• Own daily health of alert/case queues and ensure timely dispositions.
• Investigate complex multi-account cases and document decisions defensibly.
• Prepare SAR referrals with supporting case documentation.
• Escalate to bank/brokerage partners as needed and back up the Senior Manager.
• Improve controls by tuning rules and documenting changes.

Skills

Fraud triage

Analytical thinking

Communication

Collaboration

Regulatory knowledge

Education

CAFS

CAMS

CFCS

CFE

Job description

Rocket Money is hiring a Senior Analyst, Fraud and AML to own triage of alerts, investigate complex cases, and drive improvements to rules and processes. You will work across fraud, AML, and banking partners, documenting decisions for audits and regulatory reviews.

In this role you’ll help sharpen controls, reduce false positives, and support bank partner investigations. A strong emphasis on data-driven decision making and collaboration with product, engineering, and operations is required.