Manager, Business Analytics – Fraud Ops Automation

🕒 October 5

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $128k - $165k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Koalafi

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

💳 Fintech

💰 Debt Financing on 2022-08

Finance • Fintech

Koalafi is a company that provides non-prime financing solutions, allowing more customers to make crucial purchases with convenience and support. By offering lease-to-own and second-look financing options, Koalafi enables retailers to accommodate a wider range of credit scores, helping close the financing gap for up to 47% of U. S. adults who don't qualify for traditional financing. Their services report payment activity to credit bureaus, thus helping customers build credit while making purchases easier and more affordable. Koalafi's data-driven applications ensure quick and confident customer approvals, supporting retailers in increasing conversions and consumer loyalty.

📋 Description

• 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

• 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

• 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