Lithic
Senior AML Analyst
$65K–$120K
Remote +1 · Remote · Senior · Full-time · Posted Jun 29, 2026
- Location
- Remote
New York, New York, United States - Experience
- 3+ years of AML/BSA and transaction monitoring experience.
- Visa sponsorship
- Candidates must be located in the United States. Lithic does not offer visa sponsorship or assistance.
About the job
Own and improve Lithic’s AML and financial-crime monitoring program, including monitoring procedures, engine effectiveness, AI-assisted investigations, and governance.
What you'll do
- Maintain AML and financial-crime monitoring SOPs; evaluate and tune alert logic, rules, scenarios, and thresholds with Analytics, Engineering, and Product.
- Lead testing and tuning of agentic monitoring and investigation tools; investigate complex activity, prepare SARs and UARs, and oversee escalations and quality checks.
- Analyze program performance and risks, support governance and exam readiness, and train and mentor analysts.
What they ask for
- 3+ years of AML/BSA and transaction monitoring experience in fintech, payments, or a bank-partnered environment.
- Experience owning end-to-end AML programs or work streams, including authoring and maintaining SOPs and preparing governance materials.
- Deep knowledge of money laundering typologies and financial-crime trends; ability to investigate complex activity and independently prepare SARs and UARs.
- Hands-on experience evaluating alert logic and assessing or tuning transaction-monitoring rules and scenarios.
Nice to have
- CAMS or CFE (preferred, or willing to obtain); experience deploying or tuning AI, automation, or agentic tooling in compliance or investigations.
- Experience with OSINT tooling and SQL or Snowflake; card issuing, payments, fintech, sponsor bank relationships, or high-risk verticals.
Pay
$65,000 - $120,000 USD base salary
Tools
AI-assisted tooling, agentic tooling, SQL, Snowflake, OSINT
AI focus
Lead testing, deployment, and tuning of agentic monitoring and investigation tools; document investigative context, evaluate AI-assisted output, and ensure decisions are defensible to bank partners and regulators.
Model-written summary · the original posting is authoritative