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Описание вакансии
Текст:
TL;DR
Lead Compliance Risk Manager (AI) (Fintech/AI): Advising on compliance for agentic banking products, APIs, MCP, CLI access, and the platforms supporting AI development with an accent on regulatory risk, governance, and compliant-by-design product delivery. Focus on assessing AI-specific risks, defining controls and evidence requirements, guiding product launches, and driving remediation across engineering, product, risk, data, legal, and operations.
Location: San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States.
Salary: US base salary ranges from $187,000–$233,800 outside New York City, Los Angeles, Seattle, and the San Francisco Bay Area, or $207,800–$259,800 in those locations. Canadian employees: $196,400–$245,500 CAD.
Company
Mercury is a fintech company providing banking services through partner banks and building AI-enabled banking products and infrastructure.
What you will do
- Act as the primary compliance advisor for AI and agentic products, including Command, APIs, MCP, and CLI access.
- Advise Product, Engineering, Risk, Data, Legal, and Operations throughout discovery, design, evaluation, launch, and iteration.
- Identify and document AI compliance risks such as inaccurate outputs, unauthorized agent actions, inadequate consent, disparate impact, data leakage, prompt injection, and insufficient audit trails.
- Define compliance requirements for AI infrastructure, including the LLM gateway, application platform, agent orchestration frameworks, and data access controls.
- Establish AI-specific standards for launch evidence, logging, human review, escalation, and prohibited use cases.
- Lead regulatory monitoring, remediation, audit preparation, examiner interactions, and multiple high-impact compliance workstreams.
Requirements
- 8+ years of experience in compliance advisory, product compliance, or regulatory risk, preferably in fintech or financial services.
- Experience advising on AI, machine learning, or model-driven products in a regulated environment, or establishing a new compliance domain without an existing playbook.
- Working knowledge of UDAAP, fair lending and ECOA/Reg B, FCRA, Reg E, BSA/AML, GLBA, privacy, disclosures, recordkeeping, complaints, model risk, and third-party risk management.
- Familiarity with the NIST AI Risk Management Framework and state AI and automated decision-making laws.
- Technical fluency in model evaluation, agent permissioning, tool scoping, logging, observability, and data access controls.
- Strong project management, communication, strategic problem-solving, stakeholder management, and mentoring skills.
Culture & Benefits
- Work with a cross-functional group spanning Product, Engineering, Risk, Data, Legal, Operations, partner banks, auditors, and regulators.
- Help shape a new, high-visibility AI compliance function and reusable governance frameworks.
- Contribute to a culture focused on responsible AI deployment, collaboration, education, and sound risk judgment.
- Total rewards include base salary, equity through stock options or RSUs, and benefits.
- Mercury is an equal opportunity employer and provides reasonable accommodations during recruitment.
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