Financial data and indices platform for OTC, derivatives, and multi-asset markets
Parameta Solutions operates a financial data and indices business covering OTC, derivatives, and cash markets across interest rates, FX, fixed income, and commodities. The tech stack—Kafka, Airflow, Snowflake, AWS/GCP—reflects a data-intensive architecture built for real-time ingest and transformation. Hiring is heavily weighted toward data and product roles (6 and 4 respectively), with projects centered on Salesforce/MuleSoft integration, ERP architecture, and data validation pipelines, signaling an active effort to scale sales operations and data distribution capabilities alongside product engineering.
Notable leadership hires: Product Lead
Parameta Solutions is a public financial technology company headquartered in London providing market data, indices, and analytics to institutional financial professionals. The platform aggregates multi-asset class data spanning OTC derivatives, cash markets, and cash equities, with deep coverage of interest rates, FX, money markets, fixed income, credit derivatives, and digital currencies. The company operates with 201–500 employees and is actively hiring across data, product, and sales functions in the UK, Singapore, Spain, and the Philippines. Core operational challenges center on data quality assurance for distribution, legacy financial system optimization, and integration complexity across the Salesforce, Workday, and MuleSoft ecosystem.
Parameta uses Apache Kafka, Airflow, and Flink for streaming and batch processing; Snowflake for analytics; AWS and GCP for cloud infrastructure; Salesforce, MuleSoft, and Workday for operations; and monitoring tools including Prometheus, Grafana, and CloudWatch.
Parameta provides data and indices across OTC derivatives, interest rates, FX, money markets, fixed income, credit derivatives, equities, commodities, and digital currencies. Specialties include interest rate volatility, inflation derivatives, and equity derivatives.
Parameta Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.