680+ hours reclaimed each month at IVolatility.

Give data specialists their time back.

IVolatility provides managed quantitative data services to asset managers and options market makers ranked among the top 25 by volume. Its work spans options, futures and fixed income, including custom parameter calculations, derived data, regressions and surfaces.

Supporting that work means understanding more than whether a pipeline completed. An incorrect input can travel through multiple calculations before it appears in a client dataset. Finding the original cause takes knowledge of both the data and the conventions behind it.

Check the work alongside production.

Boagent supervises more than 800 daily pipelines. Raw client data and reference inputs reach Boagent in parallel with IVolatility’s standard processing. A shadow ETL process shapes the client dataset so the agent can trace errors through derived values and identify second-order effects.

This parallel view connects the source records to the results clients receive. Boagent reconciles raw inputs against internal databases, helping distinguish an incorrect source value from a problem introduced during processing.

Explain the difference. Correct the cause.

Investigations account for corporate actions, holidays across countries, market conventions and actions applied incorrectly. Boagent follows these differences back to their causes and corrects affected database records.

The work connects with IVolatility’s existing environment through JIRA, Outlook, SQL Server and ClickHouse. Inputs also include Bloomberg exports and supporting materials supplied by clients.

Make room for the next data product.

With 680+ hours reclaimed each month, IVolatility’s team has more capacity to expand its data products and improve service. Time previously spent supervising pipelines and tracing errors can go toward the specialist work that helps clients get more from their data.