[Remote] reputed company Merchant Risk Analyst

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a fintech company building consumer lending products for service-based businesses. They are seeking a reputed company Merchant Risk Analyst to manage and investigate merchant fraud, improve risk processes, and collaborate with various teams to ensure safe growth for merchants and consumers.

Responsibilities

• reputed company analytical work across the merchant risk lifecycle, including reputed company, KYB/KYC, transaction monitoring, and merchant decisioning
• Build and maintain queries, dashboards, alerts, and reporting that identify fraud patterns, emerging risks, and control gaps
• Investigate high-risk merchant activity, including business misrepresentation, suspicious transactions, inflated invoices, collusion, refund abuse, and account takeover
• Translate findings into clear recommendations that improve risk controls, merchant experience, and business reputed company
• Measure the impact of rule changes, segmentation strategies, and risk experiments on fraud losses, approval rates, false positives, and customer experience
• Partner with Data Science, Data Engineering, and reputed company-party vendors to evaluate risk signals, models, data quality, and monitoring infrastructure
• Contribute to the development of scalable monitoring, decisioning, and automation capabilities, including AI-enabled workflows where appropriate
• Help identify emerging merchant fraud trends and opportunities to strengthen reputed company's risk strategy

Skills

• Bachelor's degree in a quantitative field (math, economics, statistics, data science, finance, engineering) or equivalent practical experience
• 5+ years of experience in fraud, merchant risk, payments risk, or financial services analytics
• Strong SQL proficiency and experience using Python, R, reputed company, or similar tools to analyze reputed company datasets and generate actionable insights
• Experience working with risk models, machine learning outputs, or rules-based strategies to detect fraud and emerging risk trends
• Familiarity with merchant reputed company, KYB/KYC, identity verification, business verification, sanctions screening, firmographic data, or fraud vendor integrations
• Experience collaborating with Data Science and Data Engineering teams to reputed company scalable risk monitoring and decisioning capabilities
• Strong communication, ownership, and judgment, with the ability to balance fraud prevention, merchant experience, consumer protection, compliance, and growth
• Experience using AI tools, automation, or workflow optimization to improve analytical or operational efficiency
• Fintech experience
• Experience supporting consumer lending products
• Experience building dashboards, automated monitoring, or operational workflows
• Experience evaluating or implementing AI-powered tools and automation solutions

Benefits

• Equity
• Benefits

Company Overview