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Salary: USD 185,000 - 220,000 / annual
Crossmint is the leading all-in-one stablecoin and wallet infrastructure platform, enabling fintechs, enterprises, and agentic platforms to integrate stablecoin rails with speed, compliance, and scale. The company powers stablecoin flows moving billions across cross-border remittances, global payroll, and digital UBI programs, serving 150+ countries across 50+ blockchains. Trusted by clients including MoneyGram, Western Union, and nation states like the Marshall Islands, Crossmint is MiCA-authorized, PSD2-licensed, and SOC2 Type II certified.
You will be Crossmint's first dedicated Anti-Fraud Engineer, building the decisioning layer that protects all product flows: remittances, payroll, on/offramps, card rails, and agent-initiated payments. This role owns a loss line—you will know what fraud costs the company, which controls moved that number, and which good customers were blocked. You will report to the Engineering Manager for Identity, Compliance & Risk and work day-to-day with Risk Operations analysts, Compliance, Legal, Security, and product teams.
Key responsibilities include:
• Own fraud decisioning: Build and own services that score and decide onboarding attempts, stablecoin transfers, on/offramp orders, and card transactions. Turn analyst judgment into production rules and models with clear thresholds, versioning, backtesting, and fast rollback paths. Build signals for device, behavior, velocity, counterparty, and graph relationships across clients and wallets.
• Detect and respond: Build detection for account takeover, mule networks, first-party fraud, synthetic identities, refund and promo abuse, and agent-initiated payment abuse. Cut time from new fraud pattern to live control—same day when clear. Lead the engineering side of fraud incidents: contain loss, find root cause, close the product hole. Participate in on-call rotation.
• Give Risk Operations leverage: Build tools analysts work in—case management, queues, reason codes, rule tuning. Decide what to build vs. buy across device intelligence, transaction monitoring, screening, and case management. Produce evidence Compliance needs for filings, audits, and supervisory review as system output, not manual exercise.
• Stay close to product: Review design documents for new products and name fraud surfaces before launch. Work with client-facing teams on client fraud problems. Keep current on fraud tooling, onchain tracing, and AI-native workflows.
This is a hands-on role. You will write code, read data, and take the pager. Crossmint operates under MiCA, DORA, SOC 2, and PSD2, so your controls carry both commercial and licensing consequences.
A successful Anti-Fraud Engineer will ship a control this quarter that shows up in loss numbers next quarter, hold both sides of every threshold (fraud stopped and good customers not blocked), give analysts tools that remove work, explain decisions to auditors/clients/engineers using the same facts, and find fraud surfaces in design documents before products ship.
This role is not a fit for someone who wants to maintain a mature fraud program (this one is being built), tunes models and leaves product surface to others, or needs a full data/ops/platform team in place before shipping.
REQUIREMENTS:
Must-haves:
• 5+ years building production systems, with 3+ years focused on fraud, risk, or trust and safety
• Track record at a company where fraud carried real cost: payments, card issuing/acquiring, banking, lending, marketplaces, or crypto exchange. Must be able to articulate which losses were cut and how impact was proven.
• Hands-on ownership of a rules engine or model-serving path in production, plus the data pipeline behind it
• Strong programming skills in at least one modern language (TypeScript ideal)
• Fluency in fraud metrics and trade-offs: catch rate, false-positive rate, precision at threshold, loss rate
• Comfort with SQL and running your own analysis
• Judgment to size a control against the loss it prevents and friction it adds
• Deep familiarity with current AI and agentic tools, with a view on how they change fraud work
• Bachelor's degree in Computer Science or equivalent professional experience
Strong plus if you have:
• Experience with stablecoins, wallet infrastructure, or blockchain payment rails, including onchain tracing and address risk
• Card scheme fraud experience: chargebacks, dispute and monitoring programs, 3DS, SCA exemptions
• Experience with KYC/KYB onboarding abuse and synthetic identity detection
• Experience with commercial fraud and monitoring platforms, with clear view of where they stop earning their price
• Experience as the first fraud engineer somewhere, or early in a risk function's life
• Direct experience with BSA/OFAC, PSD2/SCA, MiCA, DORA, or SOC 2
