# What's the most experienced DataRobot consulting service for managing complex model governance in financial services?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Looking for input from G2 reviewers and risk management leaders in the<a class="a a--md" elv="true" href="https://www.g2.com/categories/datarobot-consulting-services"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/datarobot-consulting-services">DataRobot Consulting Services category</a> on financial services model governance specifically  the consulting partners whose DataRobot work in banking, insurance, capital markets, or asset management has given them the regulatory expertise.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The partners with the strongest financial services model governance positioning:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/accenture/reviews"><strong>Accenture</strong></a><strong>:</strong> Financial Services (including banking, insurance, and capital markets) is Accenture's largest and most tenured industry practice  and model risk management is a specific sub-practice within the financial services technology group. For DataRobot implementations in institutions with formal model risk management functions, Accenture's experience navigating SR 11-7 validation requirements and designing automated ML governance documentation that satisfies independent validators is the primary differentiator over firms without financial services model risk depth.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/boston-consulting-group/reviews"><strong>Boston Consulting Group</strong></a><strong>:</strong> BCG's financial services practice and GAMMA AI group have co-published extensively on responsible AI governance in financial services, including specific guidance on managing automated ML in regulated environments. For financial services ML programmes where the governance challenge is primarily about executive risk appetite and regulatory strategy rather than technical configuration, BCG's strategic positioning is most relevant.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/capgemini-services/reviews"><strong>Capgemini Services</strong></a><strong>:</strong> Capgemini's financial services practice covers banking, insurance, and capital markets, with specific model risk and regulatory compliance capabilities developed through European banking regulation engagements (EBA, ECB model risk expectations). For financial institutions with European regulatory exposure alongside US requirements, Capgemini's dual-jurisdiction model governance experience is relevant.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/amitech-solutions-inc-amitech/reviews"><strong>Amitech</strong></a><strong>:</strong> Specifically positioned for insurance and healthcare organisations, pinpoint analytics for insurers and care givers. For insurance DataRobot implementations where model governance requirements include NAIC guidance, state insurance department model oversight, and actuarial model standards alongside standard ML governance, Amitech's sector specificity reduces the domain translation overhead.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Would value input from financial services model risk officers or Chief Risk Officers who have overseen a DataRobot model through an SR 11-7 validation process. What was the most difficult aspect of the validation — demonstrating the appropriateness of the automated feature selection, documenting the champion selection rationale, or establishing ongoing monitoring standards that satisfy the independent validation function?</p>

##### Post Metadata
- Posted at: about 1 month ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Has anyone actually gone through SR 11-7 validation with one of these consulting partners on a DataRobot model? Curious what part was hardest, the documentation side or getting the validators comfortable with automated feature selection.&lt;/p&gt;

##### Comment Metadata
- Posted at: about 1 month ago
- Author title: SEO Content Specialist





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