Manager, Business Analytics – Fraud Ops Automation

Koalafi

. Lead the design and build of AI agents and automated workflows that reduce manual effort across Fraud Operations.

Posted 10/5/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $128,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI agents and automated workflows to enhance fraud operations, with strong analytical skills to drive data-driven decision-making and improve operational efficiency. Proficient in SQL and Python, with experience in dashboard creation and familiarity with case management tools.

Highest-signal resume keywords

AI Agent DevelopmentSQL ProficiencyPython ProgrammingDashboard CreationFraud Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DevelopmentSQL ProficiencyPython ProgrammingAnomaly DetectionEntity ResolutionLink AnalysisDashboard CreationData VisualizationKPI TrackingAutomated Reporting

Soft Skills

Problem-SolvingAttention to DetailCommunication SkillsEntrepreneurial MindsetAdaptability

Tools & Technologies

TableauLookerPower BIJIRAWorkflow Orchestration Tools

Industry Keywords

Fraud OperationsConsumer FinanceLendingLease-to-OwnBNPLPaymentsFintech

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Lead the design and build of AI agents and automated workflows that reduce manual effort across Fraud Operations.
Build and deploy AI agents to automate merchant underwriting and real-time suspicious customer investigations.
Map investigative workflows, identify high-value automation opportunities, and deliver solutions that 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.
Deliver analysis on suspicious merchants and customers to support investigations and escalations.
Proactively surface emerging fraud patterns, high-risk merchants, and linked customer activity.
Build data-driven prioritization for investigators and support merchant monitoring with analytical deep dives.
Design and maintain dashboards tracking productivity, queue health, case outcomes, underwriting throughput, and fraud trends.
Replace spreadsheet-based reporting with automated reporting and develop ad hoc reports for leadership and stakeholders.
Define and track KPIs including time to decision, false positive rates, and investigator capacity.
Partner with Fraud Strategy & Analytics on rule, policy, and model improvements.
Work with Product and Engineering to embed automation and data tools into case management and merchant update workflows, including JIRA.
Communicate findings to investigators, leadership, and partner teams, and drive projects from idea to delivery.

Requirements

What you’ll need

Bachelor's degree required, preferably in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Data Science.
At least 5 years of experience in analytics, data science, business intelligence, or a related role in Fraud domain.
Strong proficiency in SQL and lightweight Python; comfortable working with large, unstructured datasets.
Hands-on fluency in building AI agents and LLM-based workflows, using frameworks and APIs from leading AI providers, to automate manual, judgment-heavy processes.
Experience building dashboards and visualizations in tools such as Tableau, Looker, Power BI, or similar.
A builder's mindset and enthusiasm for finding and automating manual processes.
Strong problem-solving skills, attention to detail, and ability to explain technical work to non-technical partners.
Thrives in a fast-paced, entrepreneurial, remote-first environment.
Familiarity with case management tools, JIRA, and workflow orchestration.
Experience with anomaly detection, entity resolution, or link analysis.
Experience in consumer finance, lending, lease-to-own, BNPL, payments, or fintech.

Benefits

Comp & perks

Company bonus plan
Comprehensive medical, dental, and vision coverage
20 PTO days + 11 paid holidays
401(k) retirement with company matching
Student Loan & Tuition Reimbursement
Commuter assistance
Parental leave (maternal + paternal)
Inclusion and Associate Engagement Programs
Competitive compensation & benefits packages