What Happened
Cantor Fitzgerald launched institutional block trading in prediction markets in August, providing institutional clients with access to event contracts on Kalshi, a CFTC-regulated exchange.
Cantor is acting as an introducing broker, facilitating institutional-size block trades, while Susquehanna Predictions is providing institutional-scale pricing and liquidity.
It is another step in the development of a market that has historically been associated much more closely with retail participation and specialist prediction platforms.
The surrounding infrastructure is increasingly recognisable to traditional trading firms:
Regulated venues.
Professional liquidity providers.
Institutional brokerage.
Block execution.
Market-making infrastructure.
Risk management.
At the same time, the regulatory environment remains developing, meaning the market is becoming more institutional without yet looking exactly like an established asset class.
Why It Matters
The talent market is unusual because there is still no obvious long-established career path into institutional prediction-market trading.
Relevant experience can come from several areas:
Options and derivatives market making.
Systematic trading.
Event-driven research.
Sports modelling.
Macro.
Crypto market making.
Quantitative research.
Alternative data.
Execution engineering.
The underlying problems are familiar even when the instrument is not.
Estimate uncertain outcomes.
React to new information.
Identify mispriced probabilities.
Provide liquidity.
Understand market behaviour.
Manage risk.
Build systems capable of processing events and prices in real time.
That means searching only for candidates who already have “Prediction Markets” in their job title is likely to produce a very narrow view of the potential talent pool.
Block Pulse View
New markets often develop faster than the career paths around them.
The more useful hiring question may therefore not be:
“Who has already been a Prediction Markets Trader?”
It may be:
“Who already has the skills required to price uncertain outcomes better than the market?”
A derivatives trader may understand probability and liquidity.
A sports modeller may understand event probabilities.
A systematic researcher may understand signal extraction.
A crypto market maker may understand fragmented, rapidly evolving markets.
As institutional participation develops, some of the strongest talent may come from adjacent disciplines rather than prediction markets themselves.
The job titles will eventually catch up.
The underlying skills are already in the market.
Source Context
- Prediction Markets
- Market Making
- Market Structure