Fraud Data Analyst

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    "location": {
      "city": "Malta",
      "state": "Msida",
      "postalCode": "MSD 1421",
      "addressCountry": "Malta"
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    "datePosted": "2026-03-20",
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    "description": "<p><span style=\"color: rgb(25, 63, 102); font-size: 14pt\"><span style=\"font-weight: bold\"><span>Fraud Data<span style=\"font-weight: bold\"> Analyst</span></span></span><span style=\"font-weight: bold\"> (Currently Resident in Malta or Hold an EU Passport)</span></span></p>\n<p><br></p>\n<p><span style=\"color: rgb(25, 63, 102)\"><span>We are seeking an Experienced Analyst, with a Technical Background, to shape all aspects of Fraud Strategy. Responsible for building Fraud Prevention Data for our Credit Card Portfolio. Developing an Infrastructure of Data, Reporting &amp; Analytics, to underpin Fraud Optimisation &amp; Support Product Growth.</span><span> </span></span></p>\n<p><span style=\"color: rgb(25, 63, 102); font-weight: bold\"><br></span></p>\n<p><span style=\"color: rgb(25, 63, 102)\"><span style=\"font-weight: bold\"><span>Responsibilities:</span></span><span> </span></span></p>\n<p><br></p>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Take ownership of Fraud at both Customer Acquisition and Customer Management Stages. Including cut-off setting, initial-line-assignment, affordability, authorisation &amp; line management (increase/ decrease) programs.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Accountable for leading ad hoc and regular analytics on key risk indicators; tracking variance to plan and informing above noted strategy setting.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Develop an improved management information suite, covering risk appetite. With a dynamic capability to review live tests and interrogate trends.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Manage the credit risk messaging across the bank; opportunity to discuss on-going performance and propose value add strategies to bank committee(s).</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Work closely with various Bank teams, including Finance, Operations and Decision Science areas.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Generate enhanced documentation outlining Credit Risk Processes, including consideration of (Changing) Regulatory Standard.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Input into Collections &amp; Recoveries, and Fraud Strategies.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Facilitate growth plans by delivering effective &amp; timely fraud solutions, with consideration of continuous improvement and customer experience.</span><span> </span></span></li>\n</ul>\n<p><span style=\"color: rgb(25, 63, 102); font-weight: bold\"><br></span></p>\n<p><span style=\"color: rgb(25, 63, 102)\"><span style=\"font-weight: bold\"><span>Skills &amp; Experience:</span></span><span> </span></span></p>\n<p><br></p>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>1+ years’ experience within an analytical role (Credit &amp; Financial Services is preferred but not required).</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Bachelor’s or Master’s degree in a quantitative/ numerical discipline.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Problem solving and analytical (useful: SAS/ SQL/ Python or similar).</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Data visualization and dashboarding (useful: Tableau/ Power BI)</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Exceptional communication and organisation skills.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Ability to manage time and prioritise work while handling multiple tasks simultaneously</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Pro-active outlook and desire to innovate.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\">Experience with credit cards or other retail lending products (e.g. loans, current accounts or mortgages) is preferred.</span></li>\n</ul>\n<p><span style=\"color: rgb(25, 63, 102)\"> </span></p>\n<p><span style=\"color: rgb(25, 63, 102); font-weight: bold\"><span>Desirable:</span></span></p>\n<p><span style=\"color: rgb(25, 63, 102)\"> </span></p>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Fluent (written and spoken) in English and German.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Previous experience in chargeback management, fraud analysis or a related field is considered an asset.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Familiar with the financial services industry, specifically in areas related to credit card processing, banking, or eCommerce.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>An understanding of payment processing systems, chargeback regulations, and fraud prevention tools.</span><span> </span></span></li>\n</ul>\n<ul>\n<li><span style=\"color: rgb(25, 63, 102)\"><span>Understand the regulatory framework surrounding chargebacks and dispute resolution.</span><span> </span></span></li>\n</ul>\n<p><span style=\"color: rgb(25, 63, 102)\"> </span></p>\n<p><span style=\"color: rgb(25, 63, 102)\"><span style=\"font-weight: bold\"><span>Excellent Salary &amp; Benefits &amp; Bonus</span></span><span> </span></span></p>\n<p><span style=\"color: rgb(25, 63, 102)\"> </span></p>",
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