Domino for Model Risk Management and Governance; Controls and Audit Processes

Identify, test and manage risk

Managing risk, governance, and audit compliance requires a robust platform that captures all aspects of your modeling portfolio, making it easy to inventory and document models and streamline reporting for audit and regulatory reviews.

Domino’s Enterprise MLOps platform helps quants, analysts and data scientists at the world’s largest Financial Services institutions manage risk across use cases including: 

  • Credit risk
  • Capital planning
  • Anti-money laundering
  • Regulatory compliance
  • Cyber risk and remediation
  • Trader surveillance
  • Data loss and protection
Read the Whitepaper

Why Domino for cyber, fraud, and financial crimes

Manage model risk

Automate and standardize processes to holistically manage risk

Domino helps you manage and streamline the end-to-end process for building a model, from idea to impact to validation while mitigating risks.


  • Easily see relevant model management and validation workflow information.
  • Centrally communicate model risk information to internal and external stakeholders.
  • Codify and standardize risk, data science, IT, audit, and compliance processes.

Collaborative risk management

Instill best practices and build upon prior work

Domino makes it easy for teams to collaborate and build upon past work to test new ideas. It also lets you establish consistent patterns and practices to increase productivity.


  • Collaborate and iterate on results seamlessly with analysts, data scientists, IT, risk, compliance, audit, and executives.
  • Retain institutional knowledge when key people leave.
  • Search prior work on a topic to avoid reinventing the wheel and rapidly compound knowledge.
  • Accelerate onboarding of new team members.
  • Codify consistent patterns and practices across teams.

Reproducible analysis and models

Easily reproduce and validate work, improving productivity

Domino lets data scientists and model validators instantly recreate the environment used to build a model or analysis.


  • Easily validate model results prior to deployment.
  • Reproduce any model with just a few clicks, regardless of the language used to create it.
  • Improve data scientist and analyst productivity by automating the capture of all model assets.

Increased model velocity

Streamline and standardize data science processes while mitigating risks

With Domino, data scientists can develop, deploy, monitor, and manage models – all from a single platform. Models get into production faster with consistent deployment practices to rapidly respond to business needs, increase impact, and mitigate risks.


  • Get models into production faster with consistent model deployment best practices and processes.
  • Monitor models for data drift, quality, and other critical health statistics
  • Iterate quickly (and often) to maintain high-performing production models to mitigate risks and losses.
  • Integrate with Git and Jira to include data science into broader enterprise project processes.

See why leading ratings agencies and banks run on Domino