Manager of Business Analytics, Fraud Ops Automation

Koalafi

• $128K — $165K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative or technical field (Statistics, Mathematics, Computer Science, etc.)
  • 5+ years of experience in analytics or data science within the Fraud domain
  • Strong SQL and lightweight Python skills for handling large datasets
  • Experience building AI agents and LLM-based workflows for automation
  • Proficiency in dashboard creation using tools like Tableau or Power BI
  • A builder's mindset focused on automating manual processes
  • Strong problem-solving skills and ability to communicate technical concepts to non-technical partners

Responsibilities

  • Lead the design and implementation of AI-driven workflows to reduce manual effort
  • Map and analyze current investigative workflows to identify automation opportunities
  • Collaborate with Engineering and Analytics teams to transition AI solutions from prototype to production
  • Establish quality checks and controls for automated decision-making
  • Provide on-demand analysis of suspicious activities to support investigations
  • Proactively identify emerging fraud patterns and prioritize high-risk cases
  • Develop and maintain operational dashboards and reports for Fraud Operations

Benefits

  • Comprehensive medical, dental, and vision coverage
  • 20 PTO days plus 11 paid holidays
  • 401(k) retirement plan with company matching
  • Student Loan and Tuition Reimbursement
  • Commuter assistance
  • Parental leave for both maternal and paternal
  • Inclusion and Associate Engagement Programs
Full Job Description
About the Role

Koalafi's Fraud Operations team is the front line of our fraud defense. Our investigators review high-risk merchants and customers every day, from merchant underwriting to real-time investigations of consumer financing applicants. As we scale, we are investing in tools, processes, and AI to make that front line faster, smarter, and more consistent.

The Manager, Fraud Operations Automation will be the embedded analytical and automation engine of the Fraud Operations team. This is not a "fraud investigator only" role. You will bring the fraud domain intelligence that drives our operations, pinpoint where investigators spend time on manual, repetitive work, and convert those processes into data-driven, automated, and AI-assisted workflows. The result: investigators get the insights they need to act on the right cases at the right time.

You will sit within Fraud Operations and work shoulder to shoulder with our investigators, while partnering closely with the Fraud Strategy & Analytics team on high-priority initiatives.

What You'll Do

AI-Driven Workflow Automation
Lead the design and build of AI agents and automated workflows that reduce manual effort across Fraud Operations.
  • Build and deploy AI agents that automate manual investigative processes, including merchant underwriting and real-time suspicious customer investigations.
  • Map current investigative workflows end-to-end, identify the highest-value automation opportunities, and deliver solutions that measurably 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, in line with Koalafi's long-term AI strategy.
  • Establish guardrails, quality checks, and human-in-the-loop controls so automated decisions remain accurate, explainable, and auditable.

Investigative Insights & Proactive Detection
Give Fraud Operations on-demand and proactive visibility into suspicious activity.
  • Deliver on-demand analysis on suspicious merchants and customers to support active investigations and escalations.
  • Proactively surface emerging fraud patterns, high-risk merchants, and linked customer activity before they become losses.
  • Build data-driven prioritization so investigators focus on the highest-risk cases first.
  • Support merchant monitoring with analytical deep dives that complement the policies and models owned by Fraud Strategy & Analytics.

Operational Reporting & Dashboards
Build the reporting backbone for Fraud Operations.
  • Design and maintain dashboards tracking investigator productivity, queue health, case outcomes, underwriting throughput, and fraud trends.
  • Replace manual, spreadsheet-based reporting with automated, reliable reporting.
  • Develop ad hoc reports for Fraud Operations leadership and cross-functional stakeholders.
  • Define and track operational KPIs such as time to decision, false positive rates, and investigator capacity.

Cross-Functional Partnership
Serve as the bridge between Fraud Operations and Koalafi's analytics, product, and technology teams.
  • Partner with Fraud Strategy & Analytics to translate front-line investigative findings into rule, policy, and model improvements, and to ensure manual review aligns with policy intent.
  • Work with Product and Engineering to embed automation and data tools into case management and merchant update workflows (including JIRA).
  • Communicate findings clearly to investigators, leadership, and partner teams, and help drive projects from idea to delivery.

About You (Qualifications)
  • 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 (for example, 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: you get excited about finding manual processes and automating them.
  • Strong problem-solving skills, attention to detail, and the ability to explain technical work to non-technical partners.
  • Thrives in a fast-paced, entrepreneurial, remote-first environment.

Nice to Have
  • 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.

Location: Richmond, VA; Arlington, VA; or Remote (U.S.). Associates near one of our office locations may work in-office, hybrid, or remotely. Remote opportunities are available to candidates throughout the United States.

Salary Range: $128,000-$165,000 per year (depending on experience and location)
Additional Compensation: This position will be eligible to participate in company bonus plan.

The final salary offer will depend on factors including, but not limited to, experience, skills, and geographic location. The actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Applications will be accepted until position is filled.

Benefits:

At Koalafi, you will have a direct impact on our products and help shape the company's success. We offer competitive compensation & benefits packages to keep you at your best:
  • 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

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