Fraud Operations Analyst

🔥 0 minutes ago

🇲🇽 Mexico – Remote

💵 $1.5k - $2k / month

⏰ Full Time

🟢 Junior

⚙️ Operations

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sezzle

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💳 Fintech

👥 B2C

🛍️ eCommerce

Fintech • B2C • eCommerce

Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.

📋 Description

• Monitor real-time transactions and customer behaviors flagged for fraud and abuse for manual review • Investigate individual transactions using internal policies and review methodologies to determine whether transactions are fraudulent • Understand systems and tools; investigate account patterns through data analysis • Research fraud and user behavior to contribute to machine learning models, rules, and detection systems • Collaborate with analysts, operations specialists, data scientists, and engineering to improve fraud prevention mechanisms, processes, and tools • Maintain strong domain knowledge of fraud prevention techniques and technologies • Meet or exceed SLAs for timely resolution of queued cases to minimize potential losses • Handle escalations from internal and external stakeholders professionally and efficiently • Work Monday–Friday between 9:00 a.m. and 5:30 p.m. local time (Central time zone) full-time

🎯 Requirements

• Bachelor's degree from an accredited institution • Minimum 1 year of experience in investigating and resolving fraud incidents • Experience analyzing data and making impactful decisions in a fast-paced and sometimes ambiguous environment • Attention to detail and ability to multitask • Excellent problem-solving and analytical skills • Strong business judgment and communication skills • Ability to self-start and work with minimal supervision after training • Able to work through holidays • Demonstrated experience working with Claude or equivalent large language model tools; comfortable leveraging AI to enhance productivity, research, and communication • Work experience in fintech, payments, lending, banking, or financial institutions is a plus • Degree in statistics, math, finance, economics, or related quantitative discipline is preferred; graduate degree a plus • Experience using database query language (e.g. SQL) and data processing and analytics tools such as Python, R, or SAS is a plus • Ideal candidate available to start within two weeks following an offer • Only English resumes will be accepted