odds compiler
Odds compilers are in charge of counting the odds in gambling. They are employed by a bookmaker, betting exchange, lotteries and digital/on-line as well as casinos who set the odds for events (such as sporting outcomes) for customers to place bets on. Apart from pricing markets, they also engage in any activity regarding the trading aspects of gambling, such as monitoring customer accounts and the profitability of their operations. Odds compilers may be required to monitor the financial position the bookmaker is in and adjust their position (and odds) accordingly. They may also be consulted as to whether to accept a bet or not.
odds compiler odds compilers are in charge of counting the odds in gambling. They are employed by a bookmaker, betting exchange, lotteries and digital/on-line as well as casinos who set the odds for events (such as sporting outcomes) for customers to place bets on. The role shows moderate AI exposure (0.50 on a 0-1 scale) — some tasks are being automated but the role adapts. The most in-demand skills for the role include mathematics, legal standards in gambling, games rules, display betting information, persuade clients with alternatives.
Pay in the UK
UK: median £28,996 a year for Financial administrative occupations n.e.c. (ONS ASHE 2025, full-time)
Middle half of full-time jobs: £25,539 to £34,640 a year
UK jobs are grouped differently; this is the closest UK occupation group (ONS SOC 2020 4129). ONS rates this estimate precise. 2025 provisional figures; ONS revises them a year later. Source: ONS Annual Survey of Hours and Earnings (Open Government Licence)
Pay in India (occupation group)
Average monthly earnings of salaried employees in the occupation group “Clerical support workers” in India, from the Government of India's Periodic Labour Force Survey (January–December 2025). It covers everyone in this group, not only odds compiler, and it is not US pay converted to rupees.
Source: MoSPI (Government of India), Periodic Labour Force Survey Annual Report 2025, Table 51 — average wage/salary earnings of regular wage/salaried employees, NCO-2015 division 4. Official India data gives one average per occupation group: there are no official India figures for single careers, experience levels or cities. Read the report
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Top skills
Knowledge you'll build
- Customer and Personal Service
- Mathematics
- English Language
- Economics and Accounting
- Computers and Electronics
- Sales and Marketing
- Personnel and Human Resources
- Administration and Management
What you'd actually do
- Collect bets in the form of cash or chips, verifying and recording amounts.
- Collect cards or tickets from players.
- Compute and verify amounts won or lost, paying out winnings or referring patrons to workers, such as gaming cashiers, so that winnings can be collected.
- Answer questions about game rules or casino policies.
- Conduct gambling tables or games, such as dice, roulette, cards, or keno, and ensure that game rules are followed.
- Operate games in which players bet that a ball will come to rest in a particular slot on a rotating wheel, performing actions such as spinning the wheel and releasing the ball.
Tools & technology you'd use
Frequently asked questions
What does odds compiler do?
Odds compilers are in charge of counting the odds in gambling. They are employed by a bookmaker, betting exchange, lotteries and digital/on-line as well as casinos who set the odds for events (such as sporting outcomes) for customers to place bets on. Apart from pricing markets, they also engage in any activity regarding the trading aspects of gambling, such as monitoring customer accounts and the profitability of their operations.
What skills does odds compiler need?
The most in-demand skills for this role include mathematics, legal standards in gambling, games rules, display betting information, persuade clients with alternatives, solve problems in gambling through digital means. These are the skills O*NET identifies as most important for competent performance.
Will AI replace odds compiler?
Our AI-durability model gives odds compiler a score of 0.50 on a 0-1 scale (higher = more exposure). That places it at moderate AI exposure — some tasks are being automated but the role adapts. Learning to work with AI tools rather than against them is the path forward.