{ "media_type": "text", "post_content": "Does anyone know about Risk Dyanmics at McKinsey & Company. What is it like? I have case interviews coming up and wonder what it is a techy brand or not. I am looking for modelling/machine learning in Risk/compliance area.", "post_id": "60d769a157901c002f876f80", "reply_count": 6, "vote_count": 1, "bowl_id": "5ae4a4f739e7cb001391ec8b", "bowl_name": "Consulting Exit Opportunities" }

Does anyone know about Risk Dyanmics at McKinsey & Company. What is it like? I have case interviews coming up and wonder what it is a techy brand or not. I am looking for modelling/machine learning in Risk/compliance area.

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They do good best practice of modeling and as cutting edge as you can be in risk, which is to be honest a bit behind marketing or fraud or other areas. If you want to do real machine learning go to quantum black sub brand of McKinsey.

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If you force it, everything is possible. But it’s not easy. You have to have several more ML studies and then have enough partner push for you to support the transfer. Basically risk dynamics are statisticians /mathematicians who can program. Quantum black are software engineers mostly who can do solid statistics/ maths.

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Perfect fit for what you want. Be ready to be tested on both technicals and typical generalist case interviews.

Thank you for your reply. Do you perhaps know what kind of engagements they normally do?

There are 3 popular lines of service at RD: Model Development, Model Validation and Model Risk Management. Topics can range from credit risk to anti money laundering model (i.e, very broad). Based on the last stat I saw, RD is now more than half of the risk practice (for level below partner) and the main analytics powerhouse of the practice. Ping me if you have any question.

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