Manager of Business Analytics, Fraud Ops Automation

New

KoalafiConsumer finance

Remote opportunities are available to candidates throughout the United States.Full-TimeManager

Salary$128,000-$165,000 per year (depending on experience and location); eligible to participate in company bonus plan

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Job Details

Experience: At least 5 years of experience in analytics, data science, business intelligence, or a related role in Fraud domain.
Required Skills: PythonSQLMicrosoft Power BIJiraTableauLooker

Hold a bachelor’s degree; a quantitative or technical field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Data Science is preferred.
Have at least 5 years of experience in analytics, data science, business intelligence, or a related role in the fraud domain.
Demonstrate strong proficiency in SQL.
Be comfortable using lightweight Python and working with large, unstructured datasets.
Have hands-on fluency building AI agents and LLM-based workflows to automate manual, judgment-heavy processes.
Have experience building dashboards and visualizations with Tableau, Looker, Power BI, or similar tools.
Bring a builder’s mindset and an interest in finding and automating manual processes.
Demonstrate problem-solving skills, attention to detail, and the ability to explain technical work to non-technical partners.
Familiarity with case management tools, JIRA, and workflow orchestration is a plus.
Experience with anomaly detection, entity resolution, or link analysis is a plus.
Experience in consumer finance, lending, lease-to-own, BNPL, payments, or fintech is a plus.

Build and deploy AI agents that automate manual investigative processes, including merchant underwriting and real-time suspicious customer investigations.
Map investigative workflows, identify high-value automation opportunities, and deliver solutions to reduce handle time and improve decision consistency.
Partner with Engineering, Data, and Fraud Strategy & Analytics to move AI and automation solutions from prototype to production.
Establish guardrails, quality checks, and human-in-the-loop controls for accurate, explainable, and auditable automated decisions.
Analyze suspicious merchants and customers to support active investigations and escalations.
Surface emerging fraud patterns, high-risk merchants, and linked customer activity, and prioritize cases by risk.
Design and maintain dashboards for investigator productivity, queue health, case outcomes, underwriting throughput, and fraud trends.
Replace manual spreadsheet-based reporting with automated reporting, and develop ad hoc reports for leadership and cross-functional stakeholders.
Define and track operational KPIs, including time to decision, false positive rates, and investigator capacity.
Partner with Fraud Strategy & Analytics, Product, and Engineering to improve policies, models, case management, and merchant update workflows, including JIRA.

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