Analyst I, Merchant Risk

Minimum 1 year of experience in risk management or a related field, including prior experience with analytics. Strong coding skills in Python, SQL or other scripting languages. Familiarity with agentic / LLM orchestration frameworks. Comfortable using AI tools to enhance productivity, analysis, and workflow automation. Bachelor’s degree in a quantitatively rigorous field such as engineering, statistics, optimization, math, finance, or economics.

Support merchant onboarding and ongoing portfolio monitoring through data analysis, modeling and automation workflows. Detect and monitor fraud across the network, responding quickly to emerging risks. Contribute to the development and improvement of scalable monitoring frameworks, controls, and reporting. Assist in identifying gaps and opportunities within existing risk processes. Partner cross-functionally to translate risk requirements into data-driven strategies. Leverage AI-assisted tools to accelerate analysis, automate workflows, and support the development of scalable, agentic merchant risk solutions.