Marketplace Risk Operations Analyst (Night Shift)

AI in this role

Help empower our global customers to connect to culture through their passions.

Why you’ll love this role

You're more than a case reviewer—you’re an investigator. You enjoy tackling complex fraud cases where the answer isn’t obvious, connecting signals across accounts, transactions, and behaviors to uncover larger patterns. You work confidently with AI-powered tools, using your judgment to validate or challenge recommendations and help improve detection systems through structured feedback. You're naturally curious about how fraud evolves and stays ahead of emerging threats, contributing insights that strengthen risk controls and enforcement strategies.

What you’ll do

Investigate complex and escalated fraud cases across accounts, transactions, listings, buyers, and sellers that require human judgment.
Identify coordinated fraud, abuse patterns, and emerging threats by connecting signals across accounts, devices, geographies, and transaction history.
Surface actionable fraud trends, insights, and recommendations to Risk Operations and Enforcement teams.
Review AI-generated case recommendations, make informed decisions on edge cases, and provide feedback to improve models and rules.
Execute enforcement actions accurately and within SLA requirements.
Document investigations with clear, evidence-based findings for escalations, policy reviews, and potential law enforcement requests.
Identify detection gaps and improve fraud monitoring effectiveness.
Contribute insights during calibration sessions and fraud pattern reviews.

About You

3+ years of experience in Fraud Operations, Trust & Safety, Risk Operations, or a similar investigative role.
Hands-on experience with fraud detection tools such as SEON, Sardine, Sift, or similar platforms; SQL or BI tool knowledge is a plus.
Strong analytical skills with the ability to identify patterns across accounts, geographies, and transaction behavior.
Excellent written communication and investigation documentation skills.
Comfortable working in human-in-the-loop AI environments, critically evaluating model recommendations rather than relying on them blindly.

About StockX
StockX is proud to be a Detroit-based technology leader focused on the large and growing online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. StockX's powerful platform connects buyers and sellers of high-demand consumer goods from around the world using dynamic pricing mechanics. This approach affords access and market visibility powered by real-time data that empowers buyers and sellers to determine and transact based on market value. The StockX platform features hundreds of brands across verticals including Jordan Brand, adidas, Nike, Supreme, BAPE, Off-White, Louis Vuitton, Gucci; collectibles from brands including LEGO, KAWS, Bearbrick, and Pop Mart; and electronics from industry-leading manufacturers Sony, Microsoft, Meta, and Apple. Launched in 2016, StockX employs 1,000 people across offices and verification centers around the world. Learn more at www.stockx.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. However, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. StockX reserves the right to amend this job description at any time. StockX may utilize AI to rank job applicant submissions against the position requirements to assist in determining candidate alignment.

How we rate this

Marketplace Risk Operations Analyst (Night Shift) at StockX rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.