Expand Research. Across Global Markets.

Give quantitative research, trading and risk teams the ability to investigate complex questions, develop and validate models, and continuously analyze market opportunities. Zerve Superagents expand analytical capacity while keeping the underlying work transparent and reproducible.

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How banks use Zerve

Quantitative Research
Systematic strategy research
Investigate trading signals, develop and backtest strategies, and evaluate robustness across instruments and market conditions. Autonomous research teams pursue competing hypotheses, test findings and build on previous experiments.
Sales & Trading
Execution & transaction cost analysis
Continuously evaluate execution quality, slippage and market impact across venues and trading strategies. Agents investigate performance changes and identify opportunities to improve execution as new trading data becomes available.
Market & Counterparty Risk
Scenario analysis & stress testing
Assess portfolio sensitivities, market shocks and counterparty exposures across complex scenarios. Agents investigate the drivers of risk, challenge assumptions and independently verify critical calculations.
Quantitative Modeling
Model development & validation
Develop, benchmark and validate pricing, forecasting and risk models. Agents execute tests, investigate failures and document reproducible evidence, helping teams improve models without repeating manual analysis.
Global Markets Research
Cross-asset research & market intelligence
Investigate relationships across equities, rates, credit, FX and macroeconomic data. Persistent research agents track evolving hypotheses, incorporate new information and revisit conclusions as markets change.
Data Science & Analytics
Financial data investigation
Delegate data quality checks, exploratory analysis and feature evaluation across large financial datasets. Agents investigate anomalies, assess data suitability and produce executable analysis for specialist teams to review.