Fraud Strategy Specialist – Payment Risk

Job not on LinkedIn

🔥 49 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎲 Risk

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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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Félix

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤝 B2B

B2B

Félix is a front-end web UI/design-focused entity whose provided asset is a large collection of custom CSS. The code styles forms, inputs (including international telephone input), navigation, toggles (including a dual-currency sliding pill), skeleton loaders, responsive layout helpers, and small interactive components (spinners, tooltips, preloader behavior). This indicates Félix produces or maintains front-end component styles and patterns for websites or web applications — likely a design system, UI toolkit, or an agency/team that implements polished web interfaces.

📋 Description

• Own fraud performance for payment instruments and rails • Diagnose root mechanisms behind material fraud vectors and design high-leverage controls • Optimize friction using 3DS/SCA, holds, paused payments, dynamic friction, and product/UX changes • Partner with Product and Engineering to embed fraud controls into payment and money-movement experiences • Apply expertise in card authorization, 3DS/SCA, ACH return codes and NACHA mechanics, settlement timing, tokenized wallets, and chargeback reason codes • Design and run A/B tests to validate controls and quantify conversion and customer-experience costs • Conduct deep-dive analyses of payment fraud schemes, organized fraud operations, and emerging threats • Partner with Data Science on payment fraud models, vectors, and feature engineering • Author and maintain decisioning logic in Sardine/Oscilar and retire overlapping or underperforming rules

🎯 Requirements

• Bachelor's degree in a quantitative or related field (Math, Economics, CS, Statistics, Data Science) — or equivalent practical experience • 4–6 years in fraud / payment risk, with demonstrated depth in payment-instrument and rail mechanics • Strong working knowledge of 3DS / step-up authentication • Deep knowledge of payment systems and fraud surfaces: cards, ACH (return codes, NACHA), wires, settlement timing, tokenized wallets, and chargeback mechanics • Proven ability to reduce fraud through product and action design, not only rule-writing • Advanced SQL and Python, with the ability to work with large datasets and run complex analysis independently • Experience designing and reading experiments (A/B testing) • Understanding of machine-learning concepts and their application to fraud detection • Experience with BI tools (Looker, Tableau, or similar) • Strong communication skills for technical and non-technical audiences • Advanced English • Strong analytical curiosity to go deep into the data to find fraudsters • Equivalent competencies in the listed areas will also be considered

🏖️ Benefits

• Initial stock options grant • Annual performance bonus • Health, dental, and vision plans • Continuous learning opportunities • Unlimited PTO • Paid parental leave • Work model: currently fully remote, with a future transition to a hybrid set up • Empowering opportunities for growth in a dynamic entrepreneurial environment

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