Research Framework Consulting
We consult on building quantitative research frameworks, from infrastructure design to statistical methodology. Our engagements focus on enabling teams to build their own robust, repeatable research capabilities.
Consulting Areas
Structured engagements covering the full stack of quantitative research infrastructure.
Research Infrastructure Design
Architecture and design of end-to-end quantitative research environments. Includes data ingestion pipelines, storage systems, compute infrastructure, and workflow orchestration tailored to systematic research requirements.
Data Pipeline Architecture
Design and implementation of reliable, scalable data pipelines for financial data. Covers vendor integration, data normalization, quality assurance, and real-time versus batch processing architectures.
Backtesting Frameworks
Development of rigorous backtesting systems with proper handling of look-ahead bias, survivorship bias, and transaction cost modeling. Emphasis on walk-forward validation and statistical significance testing.
Statistical Methodology Review
Independent review of quantitative methodologies, model assumptions, and statistical procedures. Covers hypothesis testing frameworks, model selection criteria, and robustness validation protocols.
Who This Is For
Our consulting engagements are designed for teams and organizations building their own quantitative research capabilities. Typical clients include:
- Quantitative research teams requiring infrastructure architecture guidance
- Engineering teams building data pipelines for financial analytics
- Organizations establishing systematic research methodology standards
- Teams seeking independent review of existing quantitative frameworks
Interested in discussing a consulting engagement?
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