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HomeCompaniesAircallSenior Fraud Operations Specialist

Senior Fraud Operations Specialist

Aircall · Remote NY · Remote · Active · $66,300–$68,000 / year · Lever

Job facts

FieldValue
CompanyAircall
TitleSenior Fraud Operations Specialist
Normalized title-
Department / teamCustomer Experience / 14003 - Support Ops
LocationNY, United States
Work modelRemote / Remote
Employment typePermanent Full Time Employee
Salary$66,300–$68,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-05-07 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from Aircall.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Customer Experience.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAircall
Sourcecd97256c-e717-490f-9105-3462435f895e
ATS providerLever

Description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. About the role: We are seeking a dedicated and detail-oriented Senior Fraud Operations Specialist to join our Fraud Ops team. In this senior role, you will lead complex fraud investigations and drive data-informed decisions that directly protect Aircall's services and customers. Reporting to our Fraud Operations Manager, you will also be a key escalation point for the team and help define and shape processes related to fraud prevention and detection. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💵 Competitive salary package & benefits 🏨 Medical, dental, and vision insurance is 100% covered 📈 401k plan with company matching! ✈️ Unlimited PTO — take the time you need to come to work feeling great! ⭐️ Wellness, commuter, and childcare reimbursements 💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey. We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here. Key Responsibilities: Diligently investigate and resolve complex, high-impact fraud cases originating from internal teams (Engineering, Sales, Success, Billing Support, Number Operations) and carrier partners, applying strong analytical judgment and clear documentation Handle complex escalations and take difficult final decisions with direct business impact, ensuring every decision is thoroughly documented and backed by data Conduct advanced data analysis using tools such as Looker, Datadog, SQL, HEX and similar platforms to identify emerging fraud patterns, quantify risk and support data-driven decisions Review and assess KYC (Know Your Customer) and KYB (Know Your Business) documentation to evaluate customer risk profiles and flag suspicious onboarding activity Partner with customer account owners and cross-functional stakeholders to communicate fraud findings clearly and support resolution Assist the Fraud Operations Manager in identifying process improvement opportunities and contribute to the refinement of fraud detection and prevention practices Accurately document fraud attempts, trends and loss events to support reporting and continuous improvement efforts Qualifications: 5+ years of experience in Fraud Prevention, Risk Management, or Trust & Safety at a technology company Proficiency in data analytics tools (Looker, Datadog, SQL or equivalent). You are comfortable extracting data for your ad-hoc analyses independently Solid judgment when handling complex, high-impact fraud cases. Able to make well-supported, data-driven decisions under ambiguity Hands-on experience reviewing KYC and KYB documentation as part of fraud or risk assessment processes Experience with ATO (account takeover) detection and response, including containment workflows and post-incident monitoring Experience with fraud detection tools , case management platforms (e.g. Zendesk), and industry best practices Exceptional written and oral communication skills. Able to convey complex fraud scenarios to varied audiences in plain language, with clear and actionable conclusions Highly proactive, organized, and accountable. Capable of ruthless prioritization across concurrent cases and comfortable escalating blockers without being prompted Customer-first mindset with a track record of strong internal and external stakeholder management Nice to have: experience in the TelCo sector, familiarity with telecom fraud vectors (e.g. toll fraud, phishing, callback scams) is a strong plus

Full job record

Job ID1575b1918e7b9ad5c005059498dde65be797d85c
Org ID341b2526-3b04-49fd-ab9c-40784ab51139
Source IDcd97256c-e717-490f-9105-3462435f895e
Board IDcd97256c-e717-490f-9105-3462435f895e
Providerlever
Provider Job Keyafd7132f-de84-42ff-a675-7f1b91edea05
TitleSenior Fraud Operations Specialist
Normalized Title
Statusactive
Activeyes
Location TextRemote NY
DepartmentCustomer Experience
Team14003 - Support Ops
Employment TypePermanent Full Time Employee
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
City
Salary RawUSD 66300-68000 per-year-salary
Salary Min66,300
Salary Max68,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/aircall/afd7132f-de84-42ff-a675-7f1b91edea05
Apply URLhttps://jobs.lever.co/aircall/afd7132f-de84-42ff-a675-7f1b91edea05/apply
First Seen At2026-05-29 07:01:00Z
Last Seen At2026-06-18 07:57:15Z
Last Checked At2026-06-18 07:57:15Z
Last Changed At2026-05-29 07:01:00Z
Inactive At
Source Posted At2026-05-07 16:50:04Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=aircall/date=2026-06-18/2026-06-18T07-57-14-193Z-84149667dd3b4f797b1fe29babb2c5960fdca8180a436180db517980b5aaac07.json
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Parsed Structured
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Extensions
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Native Structured
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