Business Analyst
<p>We are looking for an experienced Senior Fraud Analyst focused on transaction monitoring to join a startup financial service company located in San Francisco, California. This 3-month contract role has a possibility of becoming permanent. The main focuses include <strong>real‑time authorization decisions, fraud rule strategy, and performance optimization</strong> across fraud losses and false positives. The ideal candidate brings deep experience from an <strong>issuing bank, BIN sponsor, or program manager environment.</strong></p><p><br></p><p>Responsibilities:</p><ul><li>Perform <strong>real‑time authorization decisioning and queue review</strong>, approving or declining flagged transactions</li><li><strong>Build, tune, and maintain fraud rules</strong>, including velocity rules, spend pattern logic, and merchant category (MCC) restrictions</li><li>Analyze transaction data to <strong>identify emerging fraud trends</strong> and design new detection strategies</li><li>Balance <strong>fraud loss prevention with false‑positive management</strong> to meet approval‑rate and loss targets</li><li>Partner cross‑functionally with Product, Risk, and Operations to improve authorization performance</li><li>Leverage issuer fraud platforms and rule engines such as <strong>Falcon, Forter, Sardine, Sift, or similar tools</strong></li><li>Apply a strong understanding of <strong>interchange, authorization flows, and network decline codes</strong> to decisioning and rule design</li></ul>
<ul><li>Extensive experience in <strong>issuer‑side transaction monitoring and authorization fraud</strong></li><li>Hands‑on experience with <strong>fraud rule creation, tuning, and optimization</strong></li><li>Strong analytical skills with the ability to translate data into actionable fraud strategies</li><li>Working knowledge of <strong>card network authorization flows, decline codes, and interchange mechanics</strong></li><li>Experience using <strong>issuer fraud platforms or rule engines</strong> (Falcon, Forter, Sardine, Sift, or similar)</li><li>Background at an <strong>issuing bank, BIN sponsor, or card program manager</strong></li><li>Experience limited to <strong>merchant acquiring or payment processing only</strong> will not be sufficient</li><li>Can work in a startup environment </li></ul><p> If you're interested in this position, please apply to this position and contact Alicia Robb at alicia.robb - at - roberthalf - .com with your word resume and reference job ID# 00410-0013322077</p>
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- San Francisco, CA
- remote
- Temporary
-
40.00 - 55.00 USD / Hourly
- <p>We are looking for an experienced Senior Fraud Analyst focused on transaction monitoring to join a startup financial service company located in San Francisco, California. This 3-month contract role has a possibility of becoming permanent. The main focuses include <strong>real‑time authorization decisions, fraud rule strategy, and performance optimization</strong> across fraud losses and false positives. The ideal candidate brings deep experience from an <strong>issuing bank, BIN sponsor, or program manager environment.</strong></p><p><br></p><p>Responsibilities:</p><ul><li>Perform <strong>real‑time authorization decisioning and queue review</strong>, approving or declining flagged transactions</li><li><strong>Build, tune, and maintain fraud rules</strong>, including velocity rules, spend pattern logic, and merchant category (MCC) restrictions</li><li>Analyze transaction data to <strong>identify emerging fraud trends</strong> and design new detection strategies</li><li>Balance <strong>fraud loss prevention with false‑positive management</strong> to meet approval‑rate and loss targets</li><li>Partner cross‑functionally with Product, Risk, and Operations to improve authorization performance</li><li>Leverage issuer fraud platforms and rule engines such as <strong>Falcon, Forter, Sardine, Sift, or similar tools</strong></li><li>Apply a strong understanding of <strong>interchange, authorization flows, and network decline codes</strong> to decisioning and rule design</li></ul>
- 2026-02-04T19:28:44Z