Will AI replace risk and trading analysts in Malta?
Updated
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 |
| Set and adjust odds on sports betting markets using models and market prices. Models draft prices fast; traders still take responsibility for final odds. | 45% AI helps |
| Coordinate with odds feed providers when data is late or wrong. Drafting vendor tickets is easy; calls and escalations stay human. | 45% AI helps |
| Profile customers and set stake limits for sharp or arbitrage bettors. AI profiles bettor data; limit decisions stay with staff. | 40% AI helps |
| Monitor live liability and move prices or limit bets when exposure grows. Software flags exposure; humans decide price moves and limits. | 35% AI helps |
| Watch live sporting events and suspend markets at key moments. Live watching needs people; feeds already trigger most suspensions. | 22% Needs a person |
How risk and trading analysts compare
All occupations (923)
iGaming roles in Malta (15)
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.
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.
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