Sezzle एक वित्तीय प्रौद्योगिकी कंपनी है, जो लचीले उपभोक्ता भुगतान समाधानों पर केंद्रित है। इसकी अभी खरीदें, बाद में भुगतान करें सेवा ग्राहकों को पात्र खरीदारी को छह सप्ताह में चार ब्याज-मुक्त किस्तों में बाँटने की सुविधा देती है। तुरंत स्वीकृति का निर्णय क्रेडिट स्कोर को प्रभावित नहीं करता। अपने मोबाइल ऐप और व्यापारी साझेदारियों के माध्यम से Sezzle ऑनलाइन और स्टोर में खरीदारी को सक्षम बनाता है तथा पारंपरिक क्रेडिट कार्ड के विकल्प की पेशकश करता है। कंपनी का कार्य ऐसे सुलभ भुगतान उपकरण बनाने पर केंद्रित है, जो उपभोक्ताओं को रोज़मर्रा की खरीदारी पर अधिक नियंत्रण और लचीलापन प्रदान करें।
Fraud Operations Analyst - Mexico (Remote)
Investigate suspicious transactions and user activity for Sezzle’s interest-free installment payment platform. Use data analysis, AI tools, and cross-functional collaboration to strengthen fraud detection and prevention.
विवरण
- Review live transactions and customer activity flagged for potential fraud or abuse.
- Assess individual transactions against internal policies and established review procedures to determine fraud risk.
- Learn relevant systems and tools, using data analysis to identify account and transaction patterns.
- Study fraud trends and user behavior to support machine learning models, rules, and detection solutions.
- Partner with analysts, operations specialists, data scientists, and engineers to enhance fraud controls, workflows, and tooling.
- Build and maintain current expertise in fraud prevention methods and technologies.
- Resolve assigned cases within SLA targets to support timely decisions and reduce potential losses.
- Manage escalations from internal and external stakeholders with professionalism and efficiency.
- Work full-time Monday through Friday from 9:00 a.m. to 5:30 p.m. local time in the Central time zone.
आवश्यकताएँ
- Hold a bachelor’s degree from an accredited institution.
- Have at least one year of experience investigating and resolving fraud incidents.
- Analyze data and make effective decisions in a fast-paced, occasionally ambiguous environment.
- Demonstrate strong attention to detail and the ability to manage multiple tasks.
- Bring excellent problem-solving and analytical abilities.
- Communicate clearly and exercise sound business judgment.
- Show initiative and work independently with minimal supervision after training.
- Be available to work through holidays.
- Have experience with Claude or comparable large language model tools and be comfortable using AI to improve productivity, research, and communication.
- Experience in fintech, payments, lending, banking, or another financial institution is a plus.
- A degree in statistics, mathematics, finance, economics, or a related quantitative field is preferred; a graduate degree is a plus.
- Experience with database query languages such as SQL and data processing or analytics tools including Python, R, or SAS is a plus.
- Be ideally available to start within two weeks of accepting an offer.
- Submit an English-language resume; only English resumes will be accepted.
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