Abrar Admin

Atlanticus Services Corporation

<div><p><b>Location:</b> Atlanta<br>
<b>Type:</b> Full-time<br>
<b>Level:</b> Senior Analyst</p><h3 class="jobSectionHeader"><b>
Role overview</b></h3><p>
We&rsquo;re looking for an <b>Application Fraud Analyst</b> to detect, investigate, and prevent fraud at the point of application/onboarding, with a strong emphasis on <b>identity fraud</b>. You&rsquo;ll use <b>SQL</b> and <b>Python or SAS</b> to build analyses, identify emerging fraud patterns, optimize rules and strategies, and communicate actionable insights to cross-functional partners.</p><h3 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h3><ul><li>
Monitor and analyze application/onboarding activity to identify fraud patterns, anomalies, and emerging attack vectors (synthetic ID, identity theft, first-party fraud, ATO indicators).</li><li>
Perform end-to-end investigations: develop hypotheses, pull and join data via SQL, and validate findings using Python/SAS analysis.</li><li>
Build and maintain fraud analytics (dashboards, metrics, performance monitoring) to measure fraud rates, approval impacts, and operational outcomes.</li><li>
Recommend and implement strategy changes (rules, thresholds, segmentation, policy updates) that balance risk control with customer experience and growth.</li><li>
Partner closely with underwriting, operations, product, engineering, and compliance to operationalize fraud controls and improve workflows.</li><li>
Create clear written summaries and present findings to leadership&mdash;translating complex analytics into decisions and next steps.</li><li>
Support experimentation (A/B tests, challenger strategies), post-implementation monitoring, and ongoing tuning.</li></ul><h3 class="jobSectionHeader"><b>
Required qualifications</b></h3><ul><li>
Strong <b>analytical thinking</b> with the ability to structure ambiguous problems and drive to clear decisions.</li><li>
Advanced <b>SQL</b> skills (complex joins, window functions, aggregations, query optimization).</li><li>
Proficiency in <b>Python or SAS</b> for data analysis and automation (e.g., pandas/NumPy or SAS procedures/macros).</li><li>
Excellent <b>communication skills</b> (written and verbal), including the ability to explain risk tradeoffs to both technical and non-technical audiences.</li><li>
Experience investigating fraud, risk, or identity-related anomalies using data and case evidence.</li><li>
Bachelor&rsquo;s degree in a quantitative field (or equivalent practical experience).</li></ul><h3 class="jobSectionHeader"><b>
Preferred qualifications (Ideal candidate)</b></h3><ul><li>
Direct experience in <b>identity fraud</b> / application fraud (e.g., synthetic identity, identity theft, document/IDV signals, device/email/phone risk, bureau/alt-data patterns).</li><li>
Experience with fraud tools and signals: device intelligence, email/phone reputation, IP/proxy/VPN indicators, behavioral signals, document verification, watchlists/KYC.</li><li>
Familiarity with model/rule performance monitoring (precision/recall, approval rate, loss rate, drift, stability, calibration).</li><li>
Experience working with large datasets in cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and BI tools (Power BI/Tableau) is a plus.</li></ul><h3 class="jobSectionHeader"><b>
What success looks like</b></h3><ul><li>
Detect and mitigate new fraud patterns quickly with data-backed strategy recommendations.</li><li>
Improve fraud loss outcomes while protecting legitimate approvals and customer experience.</li><li>
Deliver high-quality, well-documented analyses and clear executive-ready narratives.</li><li>
Build scalable SQL/Python/SAS workflows that reduce manual effort and speed up decisioning.</li></ul></div><p></p>

Application Fraud Analyst (Identity Fraud Focus)

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Atlanticus Services Corporation

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Application Fraud Analyst (Identity Fraud Focus)