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Mid-level AI automation in fintech combines niche skills with generalist appeal, raising applicant competition moderately.
BPM and automation skills are transferable, but banking regulatory expertise increases domain specificity.
Explicit 4–10 years, regulatory banking experience, and mandatory LLM/scripting skills increase filter strictness.
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Lead end-to-end discovery, mapping, redesign, and AI-driven automation of business processes across compliance, onboarding, operations, treasury, and client services.
Design, build, and iterate AI and workflow automations using LLMs, APIs, and integration platforms with a focus on measurable improvements like FTE savings and cycle-time reduction.
Ensure all automations comply with regulatory and audit requirements, maintain governance, and drive adoption through stakeholder collaboration and training.
4–10 years of experience in Business Process Management, Process Improvement, Automation, or Operational Transformation.
Proven expertise in structured process analysis and redesign methodologies (e.g., BPMN, Lean, Six Sigma).
Hands-on experience with AI, LLMs, workflow automation tools (e.g., n8n, Make, Zapier), and scripting languages such as Python.
Experience in banking, fintech, financial services, or other regulated industries with knowledge of financial-services processes (KYC, AML, onboarding, payments) and regulatory compliance.
Strong stakeholder management and communication skills bridging business, compliance, and technical teams in regulated environments.
Pragmatic, delivery-focused with capability to work autonomously in ambiguous and evolving settings.
Technical aptitude in AI prompt engineering, compliance controls, and evaluating AI output quality combined with process optimization expertise.