This role pays more than
62%
of similar roles. Most pay
$137,950–$205,000
— the shaded band above.
At the midpoint, this role pays about
$182k
versus about
$171k
for comparable roles.
Based on 240 similar postings.
Employer
About Ramp
Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management
Ramp currently has
34 open roles
on FindRole.
Listed pay typically runs
$168,000–$297,330
across 34 roles with salary data.
As a Senior Financial Crimes Compliance Controls Strategist, you will join the financial crimes compliance team to build and own the framework demonstrating that controls are effective, sustainable, and defensible during bank-partner, audit, and regulatory examinations. You will manage the testing, documentation, and improvement of manual and automated controls, including detection rules and AI or LLM-enabled workflows. Serving as a dedicated partner for Product, Engineering, Design, and Data initiatives, you will translate financial-crimes requirements into scalable technical solutions. The role requires expertise in BSA/AML, sanctions, and transaction monitoring while utilizing data analysis to identify risk gaps. You must possess AI fluency to manage automation strategies and provide high-level oversight of machine learning outputs. This position addresses the complex challenge of scaling compliance infrastructure within a high-growth payment and financial services environment.
Own the effectiveness of manual procedures, detection rules, and AI/LLM-enabled workflows across all financial crimes controls.
Establish standards for testing, evidence retention, issue identification, and remediation tracking for compliance monitoring.
Serve as the primary compliance partner for Product, Engineering, Design, and Data teams to integrate requirements into product planning.
Translate complex financial-crimes requirements into scalable technical workflows and user experiences in collaboration with engineering teams.
Lead the internal AI and automation strategy by identifying high-value use cases and ensuring appropriate human oversight.
Proactively evaluate risk coverage and identify emerging gaps using data analysis and domain expertise.
Act as an independent secondary reviewer for compliance reviews requiring segregation of duties or heightened scrutiny.
What we're looking for
7+ years of experience in financial-crimes compliance, AML/BSA, or sanctions.
At least 3 years of experience in a technical compliance, controls, compliance-testing, or quality-assurance role.
At least 3 years of experience as an AML or financial-crimes trusted advisor partnering with technical, operational, product, or business stakeholders.
Experience developing, implementing, or evaluating controls across both manual and technology-enabled processes.
Deep understanding of financial-crimes typologies and how risk evolves across products, payment flows, and customer types.
AI fluency to independently use tools, assess output quality, and lead strategic automation initiatives in a compliance environment.
Strong data-analysis skills to evaluate control performance and identify trends or gaps with technical teams.
Experience presenting testing results, control documentation, or risk findings to regulators, examiners, auditors, or bank partners.
ACAMS certification or equivalent financial-crimes certification.
Exceptional written and verbal communication skills for explaining complex requirements to both technical and non-technical audiences.
Experience evaluating or implementing AI, machine learning, LLM, automation, or decisioning controls in a regulated environment (preferred).
Experience supporting a fintech, payments, banking, card, or money-transmission compliance program (preferred).
Experience designing controls for transaction monitoring, KYC/KYB, EDD, sanctions screening, or payment-risk workflows (preferred).
AI
LLM
Prompt Engineering
Data Analytics
Automation
Python
Alteryx
Power BI
Tableau
UI Path
Pega
KYC
AML
Risk Management
Control Testing
Root Cause Analysis