Built like institutional finance

A team of operators from banking, technology, and quantitative research — applying institutional discipline to a market that's been waiting for it.

Backgrounds across institutional finance, quantitative research, and enterprise technology.

  • Designed enterprise strategies for global organizations
  • Built cutting-edge software across multiple technology stacks
  • Developed quantitative models and execution systems for top-tier banks and hedge funds
  • Led cybersecurity and compliance programs at institutional scale
  • Managed critical operations across regulated industries

Our story

Iqana started in 2017, when our founders began engaging seriously with digital asset markets. By 2020 we were building quantitative strategies specifically for crypto — applying institutional rigor to a market most professional capital was still ignoring.

Our team's backgrounds span the institutions that built modern finance: tech strategy consulting at Accenture, research at Goldman Sachs, alpha capture at Citadel, quantitative asset management at Santander Asset Management, financial regulation at Deloitte and KPMG, and enterprise technology at Credit Suisse and Zurich.

We're building a team of engineers, physicists, mathematicians, and PhDs — tech and data people who approach the market as a problem to solve, not a narrative to follow.

Today, digital assets are no longer a question of if for institutional capital — only of how. But the operational layer that allocators, treasuries, and asset managers need to engage these markets properly is still being built.

That's where Iqana sits. We don't bolt solutions on top of crypto — we engineer them from the ground up. Our work centers on systematic, model-driven execution, integrated risk discipline, and the operational rigor institutional clients expect from any other asset class.

Years of compounded experience across institutional finance, regulation, and quantitative research, building the operational standard this market has been waiting for.

Backed by experience from: