numerix Review, Pricing & Features

Numerix is enterprise software for derivatives pricing, market risk, XVA, and structured-product analytics. See what it does, who it's for, and key features.

Category
Analytics
Pricing
Enterprise licensing sold via direct sales; Numerix does not publish pricing publicly for its risk and analytics software.
Verified
Not yet
Last updated
August 6, 2026
Predictive AnalyticsEnterpriseAPI

Numerix is a financial technology company, founded in 1996 and headquartered in New York City, that builds quantitative analytics and software for pricing and risk-managing OTC derivatives, fixed income, structured finance, and convertible bond instruments. Its product suite spans front-office trading and risk applications (Oneview for market risk, XVA/counterparty credit risk, and trading; PolyPaths for trading, risk, and asset-liability management), an analytics infrastructure layer (NxCore Analytics Services, Workspaces, a Python SDK, an Analytics API, and a cloud-based Quant Development Platform), and analytics libraries including CrossAsset, the FINCAD Analytics Suite, and Kynex Core Analytics. Numerix serves front-office trading and portfolio-management teams, market and counterparty risk teams, back-office and regulatory compliance staff, and quants and actuaries at banks, insurers, asset managers, and hedge funds. The company reports serving 550+ clients across 52 countries and has expanded its analytics coverage through acquisitions including FINCAD and PolyPaths.

Key Features

Pros & Cons

Pros

  • 30+ years of specialized experience in derivatives pricing and risk analytics for capital markets
  • Broad product suite covering front-office pricing, market risk, XVA/counterparty credit risk, and structured products from a single vendor
  • Proven enterprise scale, with 550+ clients reported across 52 countries
  • Analytics depth extended through acquisitions of FINCAD and PolyPaths

Cons

  • Enterprise-focused software aimed at large financial institutions, not accessible to individuals or small teams
  • No public pricing, so buyers must go through a sales process to learn cost
  • Steep learning curve given the quantitative derivatives-pricing domain it serves

Related Tools