Systematic Offering
Research & Engineering
Open, reproducible research with tooling for simulation, backtesting and safe deployment to production. We treat research infrastructure as a first‑class product.
Platform overview
Quanvers runs on a unified platform for data, research and production. Data is versioned, experiments are reproducible and model changes are deployed through reviewable pipelines. This reduces operational risk and shortens the path from idea to live capital.
Researchers, engineers and risk teams work from the same source of truth, with shared tooling for diagnostics, monitoring and reporting.
Data and research stack
- Ingestion, validation and lineage tracking for market and alternative data.
- Reproducible snapshots for backtests and live experiments.
- Testing frameworks including purged cross‑validation and walk‑forward analysis.
- Execution simulators with realistic slippage and fee models.
Engineering and DevOps
- CI pipelines for strategy libraries and configuration changes.
- Model registries with approvals, audit trails and rollbacks.
- Observability across research jobs, batch processes and live trading systems.
- Guardrails for configuration changes affecting risk or leverage.
Working with us
We can provide the full platform, integrate with existing infrastructure or collaborate on specific components (for example, data engineering or backtesting frameworks).
- Greenfield builds for new systematic teams.
- Modernization of legacy research stacks.
- Targeted projects around data quality, risk monitoring or deployment workflows.
Related offerings
Explore all systematic offerings
See how our research platform underpins systematic strategies and risk‑premia portfolios.