Senior Anti-Fraud Analyst

Job not on LinkedIn

🔥 8 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧐 Analyst

👻 Ghost score 10%

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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Sumsub

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

💼 Consulting

⚖️ Legal

📦 Logistics

💰 $30M Series B - Sumsub on 2022-12

Consulting • Legal • Logistics

Sumsub is a compliance-focused technology company that provides SaaS solutions for transaction monitoring, product compliance, and related operational and pre-sales support to businesses. The company appears to operate an online platform with roles across operations, legal/compliance, and technical support, and targets other businesses with its services and tools.

📋 Description

• Investigate live data to identify emerging fraud patterns, anomalous activity, and gaps in detection logic • Develop and tune fraud detection approaches using rules, supervised and unsupervised models, anomaly detection, and link-based analysis • Evaluate the accuracy, completeness, and predictive value of fraud signals • Analyze client traffic and alert flows • Measure false positives and missed fraud and recommend concrete improvements • Build and optimize baseline rule sets and proactive alerts for common and emerging fraud scenarios • Turn analytical findings into clear product recommendations • Support complex, data-intensive client cases when needed

🎯 Requirements

• 4+ years of experience in anti-fraud, risk analytics, applied data science, or another analytical role involving complex data and anomaly detection • Strong knowledge of exploratory data analysis and classical machine learning, including supervised and unsupervised approaches • Practical experience with anomaly detection, clustering, and link-based or graph analysis • Hands-on experience in fraud prevention or fraud analytics • Strong Python and SQL skills • Hands-on experience with ClickHouse, Trino, Superset, dbt, DataHub, or comparable analytics tools • Ability to identify data-quality issues, bias, leakage, overfitting, and misleading model results • Ability to evaluate detection quality through false positives, false negatives, and other relevant metrics • Ability to explain complex findings through clear logic, numbers, and concrete examples • Confident but critical use of AI-assisted analytical tools, including the ability to validate their outputs • Fluency in English

🏖️ Benefits

• Remote-first, trust-based culture with no mandatory office days or attendance trackers • Choice of offices or coworking spaces in some locations • Flexible working hours without a fixed 9-to-5 schedule • Birthday holiday • 10 personal days each year • Seven sick days without paperwork • Extra time off for Christmas and New Year • Role-specific learning opportunities and covered professional events • Financial bonuses for marriage and welcoming a new baby • Fully covered team offsite trips several times a year • Tools and hardware needed to perform the work