Six Figure Work

Manager of Business Analytics, Fraud Ops Automation

Koalafi

Company websitekoalafi.com (Koalafi, opens in new tab)

Base salary $128K  to $165K

Employer-published annual base salary, USD. Advertised base range in Richmond, VA +1 more

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  • LocationRichmond, VA +1 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (17 min ago) · observed since
All places named
  • Richmond, VA
  • Arlington, VA

About this job

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?

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.

Why choose Koalafi: 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.

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

Who we are & what we value: 

  • We focus on what’s most important
  • We set clear expectations and deliver
  • We embrace challenges to reach our full potential
  • We ask, “How can this be better?”
  • We move fast together

Source: Koalafi on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($128,000) is above 31% of the 347 Data & ML roles in Virginia listed on this site. Their median floor is $150,000; the middle half runs from $120,000 to $182,500.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 4 other live Koalafi roles with the nearest advertised base floor
Chart as a table
This range next to 4 other live Koalafi roles with the nearest advertised base floor
RolePublished base
Manager of Business Analytics, Fraud Ops Automation (this listing)$128K - $165K
Business Analyst - Strategic Finance$101K - $131K
Business Analyst - Strategic Finance$101K - $131K
Staff Product Manager - Originations & Growth$160K - $200K
Senior Business Analyst (Consumer and Merchant Analytics)$100K - $129K

Same $100K to $400K scale as every card. All Koalafi roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-05
Where this pay comes from

Location as the employer wrote it: Richmond, VA, Arlington, VA, or Remote (US)

Salary Range: $128,000-$165,000 per year (depending on experience and location)

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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