Members Contributors Contact

Transparent, benchmarked quantitative finance

Open Quant.AI is a charitable platform that curates, hosts and documents machine learning models for quantitative finance — freely available to researchers, regulators and practitioners worldwide. Our models use common data sets generated with public pipelines using data sourced from trusted data providers.

Open Quant.AI is run by the Open Quant.AI Foundation, a charity embedded with the Oxford University's Mathematical & Computational Finance group, and supported by the UK's DataSig II project.

Highlights

  • New Yield-curve foundation models
    Baseline term-structure models with open training code.
  • Call for models Risk & stress testing
    Seeking interpretable models for systemic tail risk and capital.
  • Programme Academic partnerships 2026
    Collaborate with Open Quant.AI on shared public model libraries.

About Open Quant.AI

Open Quant.AI is a non-profit initiative dedicated to making quantitative finance models and data pipelines openly accessible, reproducible and scrutinizable.

Inspired by academic standards and open-source communities, we provide infrastructure for model hosting, documentation and benchmarking, with a focus on:

  • Generative Models in Finance
  • Derivative Risk Management
  • Market microstructure and execution models
  • Risk, XVA and portfolio optimisation
  • Stress testing and systemic-risk analytics

Our goals are to:

  • Promote transparency in financial AI and model risk.
  • Support researchers, regulators and public institutions with shared, verifiable data pipelines, tooling, and standards.
  • Lower the barrier to reproducible research in quant finance.
  • Encourage responsible deployment of ML in markets.

Open Quant.AI works with universities, industry partners and regulators to build a shared commons for financial ML.

The Platform

Discover, evaluate and reproduce state-of-the-art quant models.

Model Registry

Structured catalogue of models for pricing, risk and portfolio problems, with standardised metadata, documentation and licences.

  • Versioned model artefacts
  • Benchmarks and test suites
  • Model cards for governance

Datasets & Benchmarks

Curated public data pipelines and synthetic data generators for evaluating models on realistic financial tasks.

  • Options & equities time series and simulation
  • Limit order book time series and simulation
  • Broad financial scenario & stress test libraries

Reproducible Pipelines

Reference implementations and training pipelines in open-source frameworks, suitable for academic and industrial use.

  • Containerised training runs
  • Standard configuration schemas
  • Evaluation & reporting tools

Research & Case Studies

Open Quant.AI supports research at the intersection of mathematical finance, machine learning and market design.

Case Study · Derivatives

Neural volatility surfaces with robust no-arbitrage checks

An open reference implementation of arbitrage-aware surface interpolation with reproducible calibration pipelines.

Read more
Case Study · Market Microstructure

Deep execution models for fragmented equity markets

Benchmarking short-horizon price impact models across exchanges and liquidity regimes.

Read more
Programme · Policy

Models for regulatory stress testing

Collaborative projects with public institutions to document and open-source risk and capital models.

Read more

Community & Events

Join the Open Quant.AI community

Open Quant.AI is built by and for the quantitative finance community: quants, ML researchers, regulators, infrastructure engineers and open-source contributors.

  • Working groups on model governance and standards
  • Reading groups and seminar series
  • Collaborative hackathons and sprints
Get involved

Upcoming events

  • Mar 2026
    Open Quant.AI Launch Workshop
    Hybrid event bringing together academics, practitioners and regulators to discuss an open model commons.
  • Jun 2026
    Summer School: Financial ML in Practice
    Hands-on training on pricing, risk and execution models using the Open Quant.AI platform.
  • Ongoing
    Online seminar series
    Regular talks on robust financial ML, model risk and regulation.

Support the Open Quant.AI charity

Help us build an open, trustworthy future for financial AI.

Contribute models

Donate models, code and benchmarks under open licences. We provide review, curation and long-term hosting.

Model contribution guide

Academic partnerships

Collaborate on joint research projects, student supervision and public datasets for the financial ML community.

Partnership opportunities

Donate or sponsor

Support our infrastructure, scholarships and outreach through grants and philanthropic funding.

Funding & sponsorship