Fraud Data Analyst

🕒 September 3

🇧🇷 Brazil – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

👻 Ghost score 31%

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.

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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 transactions and customer accounts to identify and investigate suspicious or fraudulent activity • Utilize various fraud detection tools, systems, and techniques to identify emerging fraud trends and patterns • Conduct in-depth investigations into suspected fraudulent activities, gathering evidence and documenting findings • Analyze large datasets using SQL to identify anomalies, patterns, and insights related to fraudulent behavior • Develop and implement fraud prevention rules, strategies, and controls • Stay up to date with industry best practices, emerging fraud threats, and new technologies in fraud detection and prevention

🎯 Requirements

• Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or a related field) • Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role • Minimum of two (2) years of experience working with SQL and Python • Strong analytical and problem-solving skills with a keen attention to detail • Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud, etc.) • Experience with fraud detection tools and platforms is a plus • Excellent written and verbal communication skills, with the ability to clearly articulate complex issues • Ability to work independently and as part of a team in a fast-paced environment • Strong organizational skills and the ability to manage multiple priorities effectively • High level of integrity and a commitment to ethical practices • Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication • Only English resumes will be accepted

🏖️ Benefits

• Culture emphasizing unique, purpose-driven employees • Remote work arrangement • Full-time employment