Qomply Wins at Hedge Fund Services Awards US 2026
Key Takeaways
- Qomply wins Best RegTech Firm at the Hedge Fund Services Awards US 2026.
- A key CFTC reporting risk is reports that are accepted but still contain incorrect data.
- Lifecycle event reporting remains a major industry challenge, particularly around inaccurate open and closed positions.
- Validation alone is not enough, firms need reconciliation, eligibility checks and independent quality assurance.
- Qomply combines regulatory expertise with scalable technology across QA, reconciliation, managed services, direct submission and AI-supported regulatory intelligence.
Qomply is pleased to announce that we have won Best RegTech Firm at the Hedge Fund Services Awards US 2026.
The award recognizes Qomply’s growing role in helping financial firms strengthen transaction reporting controls, improve data quality and manage regulatory complexity across CFTC and other global reporting regimes.
We spoke with Bo Xu, Principal Technical Engineer at Qomply, about what this award means, the US reporting challenge Qomply is solving right now and why engineering discipline matters in regulatory reporting.
What does this US award mean to Qomply’s team?
Bo: It’s recognition of the work behind the platform. Firms are not just asking us to process files. They need technology that can handle large data volumes, apply complex reporting logic and provide clear evidence of what has happened. That requires a platform that is scalable and reliable.
What’s a US-specific reporting challenge you’re seeing right now?
Bo: One of the toughest problems in CFTC swap data reporting today isn’t the reports that fail. It’s the ones that pass.
Since the CFTC’s Rewrite tightened validation rules, obvious errors are down. But we still see reports that clear every schema check and are still wrong. We are also seeing an industry-wide issue of not accurately reporting lifecycle events which means regulators are seeing Open Positions or Closed Positions that are inaccurate.
A common example is a swap report that is accepted by the repository because the required fields are populated and formatted correctly, but the rate, counterparty identifier or lifecycle event does not match the firm’s internal books. On paper, the submission has passed. Operationally, it creates a data quality issue that must be identified, explained and corrected. Couple this with the lack of attention to eligibility checks and improper lifecycle reports, and it is a real challenge for firms. Again, for our US clients, improperly reporting lifecycle events will affect the regulator's ability to monitor systemic risk.
What makes Qomply’s technology different?
Bo: Qomply combines regulatory intelligence with engineering discipline.
The rules and checks are not built in isolation. They are informed by regulatory specialists, former regulators, capital markets practitioners and client use cases. Our engineering role is to turn that expertise into technology that is stable, scalable and usable for reporting teams. That shows up as quality assurance, reconciliation, managed services, direct submission and AI-supported regulatory intelligence, each doing a specific job but all available on one platform.
That is what makes the platform practical. Users need clear exception workflows, reconciliation outputs, validation checks and audit evidence, not fragmented tools they have to interpret manually.
How does the platform support client confidence?
Bo: Confidence comes from consistency, transparency and speed.
Clients need to know that their reporting data is being tested properly and that issues are not hidden inside manual processes or incomplete reporting.
Qomply provides clients both technology and specialist expertise. The platform helps identify issues, while our team helps clients understand the reporting treatment and operational impact. For example, by rebuilding lifecycle reports for firms, firms are able to detect Open or Closed Positions easily and are not checking their own homework.
How Qomply can help
Qomply helps financial firms achieve accurate, compliant transaction reporting across global regulatory regimes, while streamlining the operational and audit demands of regulatory reporting.
Our proprietary technology combines AI, automation and advanced data analytics to deliver scalable, audit-ready reporting intelligence. Through forensic-level quality assurance and streamlined reconciliation, Qomply helps firms strengthen data quality and reporting accuracy, automate controls, simplify audit processes and lower overall reporting costs.
Our technology provides greater oversight and operational efficiency while reducing the demands on internal teams.
For firms seeking to outsource their regulatory reporting operations, Qomply also offers a fully managed service. Combining our technology with deep regulatory expertise, Qomply Managed Services operates as an extension of, or alternative to, an in-house reporting function. This flexible model enables firms to outsource reporting operations while retaining the option to bring activities in-house as their own capabilities and resources evolve.
MiFIR | EMIR | SFTR | CFTC | CSA | MAS | ASIC | HKMA
Frequently asked questions
Qomply is helping firms identify reporting issues that may pass validation checks but are still incorrect, including inaccurate rates, counterparty identifiers, eligibility assessments and lifecycle events.
Qomply was recognised for helping financial firms strengthen transaction reporting controls, improve data quality and manage complex regulatory requirements across CFTC and other global reporting regimes.
Incorrect lifecycle reporting can lead to inaccurate open or closed positions being reported, reducing the quality of data available to both firms and regulators.
Qomply uses quality assurance and reconciliation to compare regulatory submissions against firms’ internal books and records, helping uncover errors that basic schema validation may miss.
Qomply combines regulatory expertise with engineering, bringing together validation, reconciliation, managed services, direct submission and AI-supported regulatory intelligence within one platform.
