# Will AI replace payments and fraud analysts in Malta? Updated October 2026 Payments and fraud analysts score 63 of 100 for AI exposure. The largest share of their task time, 82%, is work AI speeds up while they stay in charge. AI can take over the other 18% outright. - **18%** AI can do it - **82%** AI helps High exposure Graded from 11 tasks written for Malta's gaming sector. ## Task by task We graded 11 tasks, listed here from most to least exposed. AI can do 2 of them today, speeds up 9 and leaves 0 to people. | Task | AI exposure | | --- | --- | | Reconcile deposits and withdrawals between the gaming platform and payment provider reports. Matching records across two sources is highly automatable; exceptions remain. | 80% AI can do it | | Document fraud cases and decisions for audit and regulatory review. AI drafts case notes and decision logs; reviewer signs off. | 72% AI can do it | | Report fraud losses, chargeback ratios and payment costs to management. AI drafts reports and pulls metrics; analyst checks and presents. | 63% AI helps | | Review and approve player withdrawal requests against verification and risk rules. Rules engine plus AI can clear most low-risk withdrawals; edge cases need review. | 62% AI helps | | Investigate chargebacks and prepare evidence to dispute them with payment providers. AI can assemble evidence packs and draft dispute narratives; analyst submits. | 58% AI helps | [See what AI can take on across a gaming operator](https://www.aigentcy.com/ai-for/industries/gaming-and-gambling/) ## How payments and fraud analysts compare All occupations (923) iGaming roles in Malta (15) **Payments and fraud analysts score 63**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 58 for iGaming roles in Malta. ## Skills to build - Reconcile payment provider reports in Microsoft Excel and SQL - Investigate chargebacks and build dispute evidence packs for providers - Tune fraud rules and thresholds in Kount - Detect bonus abuse and multi accounting with SEON device data - Set up and check fraud loss dashboards in Tableau - Track fraud cases and escalations in Jira ## Safer roles nearby 2 related occupations with lower scores. - [Fraud analysts53 out of 100](https://www.aigentcy.com/ai-exposure/fraud-analysts/) - [Credit analysts62 out of 100](https://www.aigentcy.com/ai-exposure/credit-analysts/) ## Questions about payments and fraud analysts and AI Will payments and fraud analysts in Malta be replaced by AI? Partly. About 6 in 10 working hours of a payments and fraud analyst go to tasks AI can already do, mostly reconciling deposits and withdrawals against provider reports and documenting fraud cases for audit. Matching records and drafting case notes are automated, while exceptions, account decisions and sign-off stay with people. Which payments and fraud analyst tasks is AI taking over? Reconciliation and audit documentation are the most exposed, with reconciliation scoring 80 and fraud case documentation scoring 72 on exposure. AI matches records across the gaming platform and provider reports and drafts case notes and decision logs, so analysts mainly review the exceptions and sign off. Which payments and fraud analyst tasks stay with people? Testing new payment methods in a live market scores lowest at 35 on exposure, and tuning fraud rules scores 40. Live market testing needs people watching real transactions, and analysts test and take responsibility for threshold changes because a wrong rule can block legitimate players or let fraud through. How do payments and fraud analysts stay valuable as AI takes on more work? Move toward the judgement tasks AI leaves behind, such as reviewing edge-case withdrawals in your rules engine and validating linked accounts flagged for bonus abuse. Build skills in Kount rule tuning, SQL queries on provider data, and presenting fraud loss ratios in Tableau to management. ## Related jobs - [Game integration specialists63 out of 100](https://www.aigentcy.com/ai-exposure/malta/game-integration-specialists/) - [Casino SEO specialists64 out of 100](https://www.aigentcy.com/ai-exposure/malta/casino-seo-specialists/) - [KYC analysts64 out of 100](https://www.aigentcy.com/ai-exposure/malta/kyc-analysts/) - [CRM executives62 out of 100](https://www.aigentcy.com/ai-exposure/malta/igaming-crm-executives/) ## Next steps for payments and fraud analysts - ### Check your job Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do. [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/) ### Check which roles in your team AI can take on We map your team's tasks, show what AI can do today and build the automations that pay back first. [Book an AI audit](https://www.aigentcy.com/audit/) ## Related topics - [**Jobs AI can't replace**Cement masons score lowest, at 8.](https://www.aigentcy.com/ai-exposure/jobs-ai-cant-replace/) - [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/) - [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/) - [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/) - [**Jobs AI speeds up the most**For natural sciences managers, AI speeds up 96% of task time.](https://www.aigentcy.com/ai-exposure/jobs-ai-speeds-up/) - [**AI and jobs in Malta**15 iGaming roles graded task by task.](https://www.aigentcy.com/ai-exposure/malta/) - [**Skills that keep work human**The skills to build in the jobs AI changes least.](https://www.aigentcy.com/ai-exposure/skills/) - [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/) - [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/) - [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/) - [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/) - [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/) Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.