Sezzle ir finanšu tehnoloģiju uzņēmums, kas koncentrējas uz elastīgiem patērētāju maksājumiem. Tā pakalpojums “pērc tagad, maksā vēlāk” ļauj pircējiem sadalīt atbilstošu pirkumu summu četros bezprocentu maksājumos sešu nedēļu laikā. Tūlītējie apstiprināšanas lēmumi neietekmē kredītreitingu. Izmantojot mobilo lietotni un sadarbojoties ar tirgotājiem, Sezzle atbalsta iepirkšanos tiešsaistē un veikalos, kā arī piedāvā alternatīvu tradicionālajām kredītkartēm. Uzņēmuma darbība ir vērsta uz pieejamu maksājumu rīku izstrādi, kas sniedz patērētājiem lielāku kontroli un elastību ikdienas pirkumu veikšanā.
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.
Meksika1500 $ – 2000 $ / mēnesis
AttālinātiPilna slodzeJaunākais speciālistsNepieciešamā Valoda: angļuOperācijasApraksts
- 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.
Prasības
- 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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