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Richmond, VA, Arlington, VA, or Remote (US)
Source: Koalafi careers · View original posting
From Koalafi's posting. “We” and “our” refer to the employer.
At Koalafi, we believe in a world where no one has to put an important purchase on hold. That’s why we’re making it easier for more people to pay for big purchases over time.
Retailers across the country rely on us to offer flexible lease-to-own financing to their non-prime consumers, while increasing sales and strengthening customer loyalty. Their 2M+ customers love us because we provide a flexible way for them to make payments and give them an opportunity to improve their credit. Our 200+ Koalafi teammates enjoy inspiring and challenging work that accelerates their careers.
Interested in learning more about how we’re transforming the financing experience and joining our team?
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.
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.
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.
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.
Compensation
$128,000-$165,000 per year (depending on experience and location)
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.
A career at Koalafi means opportunities to tackle exciting challenges every single day. We take pride in a culture of innovation, trust, and ownership. You'll get outside your comfort zone, build meaningful relationships, and most of all, take charge of projects that ultimately help people get the things they need most.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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