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Trust & Safety, Intelligence Analyst

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $68k - $81k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🕵️ Threat Intelligence Specialist

🚫👨‍🎓 No degree required

Where this job comes from

Posted on Fetch Rewards's careers page, not through a job board

First seen by Remote Rocketship 3 hours ago

Still open on Fetch Rewards's site. Checked 16 minutes ago.

Logo of Fetch Rewards

Fetch Rewards

501 - 1000 employees

Founded 2013

💼 Consulting

🍽️ Food & Beverage

📦 Logistics

💰 Debt Financing on 2022-04

Consulting • Food & Beverage • Logistics

Fetch Rewards is a company that operates America's Rewards App, leveraging the power of Fetch Points to drive consumer behavior and engagement across various industries, including Consumer Packaged Goods (CPG), retail, and restaurants. By offering custom-fit marketing solutions, Fetch helps brands increase sales, improve retention, and build lifelong consumer loyalty without relying on discounts. The platform offers dynamic in-app offers based on verified shopping behavior, designed to inspire specific business outcomes and increase customer engagement. Fetch Rewards partners with major brands and retailers, providing a robust data-driven approach to enhance buying frequency and customer retention.

📋 Description

• Analyze account, device, transaction, receipt, redemption, and behavioral data to identify fraud, abuse, coordinated activity, policy evasion, incentive manipulation, and other threats • Conduct structured investigations into suspicious activity and emerging abuse patterns • Identify connections among accounts, devices, identities, transactions, and behaviors to detect coordinated activity and fraud rings • Assess the scope, severity, root cause, and business impact of identified threats • Support incident response by validating threats, defining affected populations, recommending containment actions, and documenting lessons learned • Translate investigative findings into detection requirements, rules, queries, alerts, dashboards, and scalable monitoring • Develop, test, document, and refine rules-based detections • Monitor detection performance, including alert volume, precision, false-positive rates, coverage, and effectiveness • Identify false positives, false negatives, detection gaps, and control weaknesses and recommend improvements • Translate fraud intelligence into recommendations for product controls, policies, operations, enforcement, and partner protections • Communicate emerging risks and material findings through escalation channels • Contribute analytical expertise to product launches, control assessments, vendor evaluations, and Trust & Safety initiatives • Share threat trends, attacker behaviors, detection learnings, and investigative methods • Maintain accurate, reproducible documentation of investigative methods, detection logic, assumptions, decisions, limitations, and outcomes • Manage investigations, detection enhancements, and projects from intake through completion • Handle sensitive information according to privacy, security, and data-handling requirements • Use AI and automation responsibly while validating outputs and protecting confidential information

🎯 Requirements

• 2+ years of experience in fraud analysis, investigations, threat intelligence, trust and safety, risk operations, cybersecurity, data analysis, or a related field, or equivalent practical experience • Proficiency using SQL to query, join, validate, and analyze large datasets • Ability to investigate ambiguous or complex activity, identify meaningful patterns, and reach evidence-based conclusions • Experience developing, evaluating, or improving fraud rules, risk controls, alerts, monitoring, or investigative workflows • Working knowledge of precision, false positives, false negatives, coverage, baselines, anomalies, and behavioral change • Ability to quantify risk and communicate findings through documentation, data-supported recommendations, and presentations • Strong organizational skills and ability to manage multiple investigations or projects with limited supervision • Preferred: experience in loyalty or rewards abuse, marketplace integrity, account abuse, e-commerce fraud, promotional abuse, or consumer-platform Trust & Safety • Preferred: familiarity with anomaly detection, device intelligence, identity risk, or behavioral analytics • Preferred: experience with rules engines, case-management systems, version-controlled detection logic, or third-party fraud-prevention platforms • Preferred: familiarity with adversarial behavior, fraud-ring analysis, incident response, or coordinated threats • Preferred: experience using or building AI-assisted workflows, automation, or analytical tools • Preferred: experience translating investigative findings into product, policy, operational, or enforcement improvements

🏖️ Benefits

• Equity for full-time employees • 401(k) with dollar-for-dollar matching up to 4% of eligible pay • Comprehensive medical, dental, and vision plans, including pets • $10,000 per year education reimbursement • Employee Resource Groups • Flexible PTO • 9 paid holidays • Year-end week-long break • 14 weeks of fully paid parental leave • 6 additional weeks of paid childbirth recovery leave for birthing parents • Flexible return-to-work schedule • One-time $2,000 Calvin Care Cash incentive for new family members • Fully remote work from anywhere in the US for US-based roles • Hardware and software provided for home working

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