# Will AI replace risk and trading analysts in Malta? Updated October 2026 Risk and trading analysts score 59 of 100 for AI exposure. The largest share of their task time, 80%, is work AI speeds up while they stay in charge. AI can take over 10% outright, and 10% stays with people. - **10%** AI can do it - **80%** AI helps - **10%** Needs a person High exposure Graded from 10 tasks written for Malta's gaming sector. ## Task by task We graded 10 tasks, listed here from most to least exposed. AI can do 1 of them today, speeds up 8 and leaves 1 to people. | Task | AI exposure | | --- | --- | | Report margin, turnover and trading results. Reports and summaries from trading data are highly automatable. | 75% AI can do it | | Build pricing models and spreadsheets for new markets. Coding assistants speed model builds; analysts still take responsibility for design. | 65% AI helps | | Analyse betting patterns to detect match fixing or syndicate activity. AI spots betting anomalies well; investigators must verify and escalate. | 60% AI helps | | Settle bets and resolve disputed results. Settlement rules are automatable; disputes need human sign-off. | 55% AI helps | | Review large or unusual bets before acceptance. Models can flag unusual bets; staff make acceptance calls. | 50% AI helps | [See what AI can take on across a gaming operator](https://www.aigentcy.com/ai-for/industries/gaming-and-gambling/) ## How risk and trading analysts compare All occupations (923) iGaming roles in Malta (15) **Risk and trading analysts score 59**, 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 - Build pricing models in Python for new sports markets - Query trading results and settlements in SQL - Check odds feed data from Betradar and Kambi - Sign off disputed bet settlements with documented rulings - Set stake limits for sharp bettors from customer profiles ## Safer roles nearby 2 related occupations with lower scores. - [Actuaries47 out of 100](https://www.aigentcy.com/ai-exposure/actuaries/) - [Financial analysts58 out of 100](https://www.aigentcy.com/ai-exposure/financial-analysts/) ## Questions about risk and trading analysts and AI Will risk and trading analysts in Malta be replaced by AI? Partly. About 5 in 10 working hours go to tasks AI can already do, mostly building margin, turnover and trading reports and drafting pricing models. Final odds, limit decisions and acceptance calls stay with analysts because they carry the financial liability. Which risk and trading analyst tasks is AI taking over? Reporting margin, turnover and trading results is the most exposed task, scoring 75, because summaries built from trading data follow fixed rules. Building pricing models for new markets scores 65, since coding assistants speed up model builds in Python and Excel. Which risk and trading analyst tasks stay human? Watching live events and suspending markets scores 22, the lowest in this job, because a suspension at a key moment needs a person watching the match. Monitoring live liability scores 35, since software flags exposure while people decide price moves and limits. How can risk and trading analysts stay valuable? Take on sign-off for disputed settlements, since those disputes need human approval. Write SQL queries that check Betradar and Kambi feed data against settled results. Build pricing models in Python and check each draft price before it goes live. Document stake limit decisions for sharp bettors so they hold up in review. ## Related jobs - [Bonus and promotions managers59 out of 100](https://www.aigentcy.com/ai-exposure/malta/bonus-and-promotions-managers/) - [VIP managers58 out of 100](https://www.aigentcy.com/ai-exposure/malta/vip-managers/) - [Affiliate managers61 out of 100](https://www.aigentcy.com/ai-exposure/malta/igaming-affiliate-managers/) - [CRM executives62 out of 100](https://www.aigentcy.com/ai-exposure/malta/igaming-crm-executives/) ## Next steps for risk and trading 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.