Kalshi hires former FBI agent to lead anti-money laundering efforts
Prediction market platform Kalshi has appointed former FBI special agent Sean Fern to establish and lead its anti-money laundering team.
According to NPR, Fern will collaborate with Kalshi executives, regulators and law enforcement agencies to identify suspicious transactions and strengthen safeguards against criminal activity like money laundering and fraud.
The official had previously worked for the FBI’s international corruption squad, which involved the investigation into the 1MDB financial scandal in Malaysia. He also served as a federal prosecutor in Brooklyn and helped lead the prosecution of wellness company OneTaste.
Talking to NPR about his aims for Kalshi, Fern said, “I want to make sure it’s a hard place to launder money or evade sanctions and commit fraud. On a day-to-day basis, that involves knowing who our customers are, knowing where their money comes from, and making sure we aren’t doing business with sanctioned entities or parties. And when something looks off or looks suspicious, we can catch it and make referrals to law enforcement.”
Kalshi spokesperson Elisabeth Diana added that the company’s growing use by banks, hedge funds and other financial institutions has increased the need for stronger financial crime controls.
The appointment comes amid regulatory scrutiny of prediction market platforms, including cases involving a former Google employee and a former US Army soldier accused of using non-public information to profit on rival prediction market operator Polymarket.
Kalshi and Polymarket have also spent around US$3 million lobbying against state-level regulation, as the debate continues over whether prediction markets fall under federal oversight or state gambling laws.
Charlotte Capewell brings her passion for storytelling and expertise in writing, researching, and the gambling industry to every article she writes. Her specialties include the US gambling industry, regulator legislation, igaming, and more.
Dig Deeper
Related stories
2026/08/25: Total Philippines gambling ad ban seen handing market back to illegal operators, data from five countries show
2026/06/30: Former NBA stars Malik Beasley and Ed Davis indicted in illegal betting scandal
2026/09/10: Utah court wins in Kalshi dispute over injunction but fight continues
2026/07/01: Meta considered Kalshi acquisition before developing Arena prediction market app: report
2026/08/25: Total Philippines gambling ad ban seen handing market back to illegal operators, data from five countries show
2026/06/30: Former NBA stars Malik Beasley and Ed Davis indicted in illegal betting scandal
2026/09/10: Utah court wins in Kalshi dispute over injunction but fight continues
2026/07/01: Meta considered Kalshi acquisition before developing Arena prediction market app: report
The Backstory
Compliance push follows a rapid expansion
Kalshi’s decision to hire former FBI special agent Sean Fern to build and lead its anti-money laundering function lands at a pivotal moment for prediction markets. The sector has moved from a niche financial product into a high-volume, politically contested category used by retail traders, institutions and, increasingly, technology companies looking for new forms of engagement.
The appointment also reflects a broader shift in how the industry is being judged. Prediction market operators once framed themselves mainly as exchanges for event-based contracts. Regulators, prosecutors and state officials are now testing whether parts of the business look and function more like gambling, securities trading or a hybrid that does not fit neatly into either regime. That debate has made financial crime controls a central issue, not a back-office concern.
Fern’s background signals the type of risk Kalshi is trying to address. His work on international corruption and federal prosecutions fits a business in which users can move money quickly around event outcomes, sometimes across politically sensitive or market-moving information. Know-your-customer checks, sanctions screening and suspicious activity monitoring are basic expectations in financial services. For prediction markets, they are becoming a condition for credibility as trading volumes rise and institutional users enter the market.
Scrutiny has followed the money
The pressure on prediction market platforms has intensified as activity has surged. In a report on Meta’s interest in Kalshi and its later Arena project, monthly trading volume across Kalshi and Polymarket was cited as rising from US$28 billion in June 2025 to US$220 billion in June 2026. That scale changes the enforcement calculus. What may have seemed experimental at lower volumes can attract the same concerns that apply to betting exchanges, brokerages and payment platforms.
Meta’s reported consideration of a Kalshi acquisition also showed how mainstream the format has become. Although the deal did not advance, the companies later partnered to integrate Kalshi markets on Threads. Meta then began developing Arena, a prediction app expected to use virtual currency and points rather than real-money trading. The distinction matters: by avoiding cash wagering, Meta may reduce some legal and financial crime exposure while still using the engagement mechanics that make prediction markets attractive.
For Kalshi, however, real-money markets are the business. That creates a more complex risk profile. Platforms must assess who is trading, how funds are sourced and whether market activity reflects manipulation, insider information or attempts to move value for illicit purposes. The more prediction markets resemble both financial exchanges and wagering platforms, the harder it becomes to avoid the compliance expectations attached to each.
States are testing the federal shield
Kalshi’s legal strategy has rested heavily on federal oversight by the Commodity Futures Trading Commission. The company has argued that its event contracts are subject to federal commodities law and that state-by-state gambling enforcement would create a fragmented framework. State officials have pushed back, particularly when contracts involve sports outcomes that resemble regulated sports betting.
That conflict is already playing out in court. In Utah, a federal judge ruled that the state’s anti-gambling laws can apply to Kalshi’s sports contracts, and an appeals panel later rejected Kalshi’s request for an injunction while the case continues. The underlying issue remains unresolved, but the Utah ruling against Kalshi’s injunction request showed that federal registration will not necessarily shield prediction markets from state enforcement during litigation.
The legal uncertainty increases the value of visible compliance investment. A stronger anti-money laundering program will not settle whether a sports event contract is a swap, a wager or something else under state law. But it can help Kalshi argue that it operates more like a regulated financial market than an offshore sportsbook. That distinction is central to its commercial and legal positioning.
The stakes are larger than one operator. If states prevail, prediction markets could face a patchwork of licensing, advertising and product restrictions. If federal preemption dominates, the industry could scale nationally under CFTC oversight, with states left with limited authority over contracts they view as gambling. Either path will require operators to show they can identify suspicious trading and protect market integrity.
Sports cases sharpen integrity concerns
The compliance debate is also shaped by a wave of sports betting scandals. Federal prosecutors have brought cases alleging that athletes or associates used non-public information, manipulated performance or placed improper wagers through licensed betting channels. Those allegations matter for prediction markets because many of the same integrity risks apply when contracts are tied to game outcomes, player performance or other events influenced by insiders.
One recent example involved former NBA players Malik Beasley and Ed Davis, who were indicted in an alleged scheme involving prop bets during the 2023-24 season. Prosecutors accused Beasley of altering on-court performance and Davis of acting as an intermediary between the player and bettors. The NBA betting indictment included charges such as wire fraud conspiracy, bribery in sporting contests and money laundering conspiracy.
That case arose from sportsbook wagers, not prediction market contracts. Still, it highlights why regulators focus on information asymmetry and market abuse. Contracts on sports events can create incentives for insiders to leak information or influence outcomes. Even when an exchange bans unlawful activity, it must be able to detect suspicious patterns, connect accounts, review funding sources and refer cases to law enforcement.
Kalshi and rival Polymarket have also faced scrutiny around allegations that users profited from non-public information. Those episodes strengthen the argument that compliance teams need investigative capacity, not just automated onboarding checks. Fern’s background as both an FBI agent and federal prosecutor suggests Kalshi wants an AML program capable of interacting with law enforcement and interpreting conduct that may sit at the boundary of trading, fraud and gambling.
Fraud trends point to tougher controls
The broader igaming sector offers a warning about the speed at which financial crime risks evolve. A Sumsub report found suspicious transaction volumes in Asia Pacific igaming fell 45% from the first quarter of 2024 to the first quarter of 2026, helped by stricter regulation in markets such as the Philippines, Australia and New Zealand. Yet the same report found global igaming fraud rose 18% year on year, with AI-assisted attacks, synthetic identities and deepfakes increasing pressure on operators.
The APAC suspicious transaction report is relevant because it shows both sides of regulation. Stronger rules can reduce suspicious activity, but fraudsters adapt quickly. Sumsub said many attacks now occur after onboarding, meaning one-time identity checks are insufficient. Continuous monitoring, device intelligence, liveness checks and network analysis are increasingly necessary.
Prediction markets face similar exposure. A user who passes initial verification can still coordinate trades across accounts, act on restricted information or use markets to transfer value. As contracts become more liquid, suspicious activity may look less like traditional casino fraud and more like market manipulation or coordinated trading. That makes AML controls inseparable from surveillance and integrity functions.
Policy battles are converging
The debate around Kalshi also intersects with a wider policy question: whether regulation should channel activity into supervised platforms or restrict promotion and access so heavily that users migrate to less visible operators. In the Philippines, an analysis warned that a total gambling advertising ban could undermine recent gains against offshore illegal operators by silencing licensed platforms while leaving unlicensed sites active online. The Philippines gambling advertising analysis argued that visibility for licensed operators can be a regulatory tool when paired with strict content and consumer protection rules.
That lesson applies to prediction markets as U.S. states, federal regulators and courts decide where the category belongs. If legitimate platforms are pushed into narrow channels without a clear legal path, demand may shift to offshore venues with weaker identity checks and limited cooperation with U.S. authorities. If the market is allowed to grow under federal oversight, regulators will expect stronger safeguards against money laundering, sanctions evasion, fraud and market abuse.
Kalshi’s AML hire therefore is not an isolated personnel move. It is part of an effort to define the company as a compliant financial-market operator at a time when rivals, technology companies, state attorneys general and federal agencies are all shaping the future of event trading. The company’s growth has created opportunity. It has also made the cost of weak controls much higher.
