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Denmark targets investors tied to Sanjay Shah at US tax fraud trial

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Weeks after Danish judges sentenced hedge fund trader Sanjay Shah to 12 years in prison, the country’s lawyers turned to a U.S. court in a bid to recoup about $500 million lost in the Cum-Ex tax dividend scandal.

Lawyers for the Nordic country told a New York jury that a group of US investors helped Shah steal from the Danish treasury by filing 1,200 fraudulent requests for tax rebates on dividends.

“This case is about greed and theft,” Marc A. Weinstein, a lawyer for the Danish tax authority, said during opening statements at a civil trial that started this week in federal court in New York. “They lined their own pockets, the pockets of their friends and families and the pockets of their coconspirators with the funds they stole from Denmark.”

Shah, who was sentenced to prison last month for orchestrating a scheme that netted 9 billion kroner ($1.24 billion) through thousands of sham dividend tax refund applications, has become the public face of the Cum-Ex tax scandal that has engulfed bankers and lawyers in several European countries. Three people have been convicted of Cum-Ex related crimes in Denmark, and about 20 in Germany.

Cum-Ex was a controversial trading strategy designed to obtain duplicate refunds by taking advantage of how dividend taxes were collected and regulated a decade ago. Germany is looking at about 1,800 suspects from across the global financial industry in probes linked to the practice.

Denmark’s Customs and Tax Administration, also known as SKAT, has been pursuing traders and businesses around the world in a bid to claw back the billions it says it lost through trading schemes spearheaded by Shah. The case is the first to go to trial in the U.S. over Cum-Ex fraud linked to the hedge fund founder.

But a lawyer for two of the investors, Richard Markowitz, and his wife, Jocelyn Markowitz, told the jury that SKAT allowed Cum-Ex transactions to flourish for years before trying to stop the practice. He compared the tax agency to the town officials in the movie Jaws who were so focused on the tourist trade that they “didn’t do anything until the bodies started piling up.”

“Rich and Jocelyn did not do anything wrong. They didn’t lie, they didn’t cheat,” said Peter Neiman, a lawyer for the couple, during his opening arguments. “SKAT was not careful.” 

Shah was a suspect in probes in both Denmark and Germany. German prosecutors also accused him of routing Cum-Ex deals through the U.S., saying in one indictment that he used a Jewish school in Queens to execute trades totaling €920 million euros ($948 million) as part of a plan to deceive tax authorities.

Shah, the founder of Solo Capital, became the most prominent figure of the Cum-Ex scandal after a 2020 Bloomberg TV interview where he said that “bankers don’t have morals” and expressed no remorse for taking advantage of what he said were loopholes in some countries’ tax codes.

Denmark says that Richard Markowitz, John van Merkensteijn and two of their partners at a New York financial services firm, Argre Management, were recruited by Shah to take part in the scheme in 2012. Pension plans created by Argre became customers of Shah’s hedge fund, which served as the purported custodian of Argre’s Danish shares, and issued fraudulent statements for a rebate on dividend taxes that were withheld.

The plans, including ones established by their wives, Jocelyn Markowitz and Elizabeth van Merkensteijn, later submitted those statements as proof that the company was entitled to the refunds, the Danish tax agency says.

SKAT has sued approximately 260 pension plans and individuals in the U.S. over Cum-Ex. The country has also filed civil cases seeking to claw back Cum-Ex funds in other countries. A trial in London wrapped up last month where SKAT is suing dozens of traders and businesses. 

If Neiman agreed with the Danish tax agency on anything, it was that Shah was the real villain. He said that Markowitz and Van Merkensteijn, “honestly and in good faith” entered into what they believed were legitimate dividend arbitrage transactions, first in Germany, later in Belgium and then in Denmark, only to find out that Shah had deceived them.

“It was only years later that they found out that Sanjay Shah had at some point stopped doing what he had promised and had begun to lie to them over and over and over again,” he said.

“The blame here lies with Sanjay Shah and Solo,” said Sharon McCarthy, a lawyer for the van Merkensteijns.

The case is In Re: Customs and Tax Administration of the Kingdom of Denmark (Skatteforvaltningen) Tax Refund Scheme Litigation, 18-md-2865, U.S. District Court, Southern District of New York. 

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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Accounting

Automated Tax Compliance and Global Regulatory Harmonization in 2026

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Corporate tax accounting departments are navigating an era of unprecedented regulatory complexity as global tax harmonization frameworks take full effect alongside real-time digital tax reporting mandates. Tax directors and accounting teams are adopting cloud-based tax compliance automation tools to manage multi-jurisdictional tax liabilities and satisfy stringent reporting rules across international jurisdictions.

Implementation of Global Minimum Tax Provisions
The implementation of international tax reform agreements—notably the Pillar Two global minimum tax framework—has reshaped multinational corporate tax planning. Multinational enterprises with consolidated revenues exceeding established thresholds must ensure an effective tax rate of at least 15% across every jurisdiction in which they operate.

Accounting teams are implementing specialized tax calculation modules integrated directly into enterprise resource planning (ERP) platforms. These automated tools calculate effective tax rates per country, identify top-up tax liabilities, and generate standardized compliance documentation required by national tax authorities.

Real-Time Digital Invoicing and E-Reporting Mandates
Tax authorities across Europe, Latin America, and Asia-Pacific have enacted mandatory electronic invoicing (e-invoicing) and continuous transaction controls (CTC). Under these systems, corporate transaction data must be submitted electronically to government portals in real time at the point of sale or invoice issuance.

This shift toward continuous digital tax reporting eliminates traditional annual tax audits in favor of ongoing automated compliance monitoring. Accounting departments are upgrading invoicing software to ensure seamless XML data formatting, digital signature authentication, and real-time validation against tax authority databases.

Automation and Data Analytics in Corporate Tax Strategy
To keep pace with dynamic tax legislation, tax departments are transitioning from reactive compliance teams to proactive strategic advisors. Machine learning algorithms analyze corporate transactional data to identify tax credits, research and development (R&D) incentives, and cross-border transfer pricing adjustments.

By automating routine tax return filings and calculations, corporate tax directors can focus on long-term capital structuring, evaluating the tax implications of corporate mergers, and optimizing international supply chain networks.

Strategic Priorities for Tax Executives
1. ERP System Upgrades: Ensure enterprise software is capable of generating real-time, granular tax data required for global minimum tax compliance.
2. E-Invoicing Integration: Implement scalable e-invoicing platforms to satisfy regional continuous transaction control regulations.
3. Strategic Tax Analytics: Utilize predictive tax modeling tools to evaluate structural changes in corporate operations and cross-border trade.

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