<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/44fd3966c7634bcc9190a30d0ebc4736&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/44fd3966c7634bcc9190a30d0ebc4736-3a7d5f87029d1633.gif</thumbnail_url><duration>86</duration><title>Mia</title><description>This Loom compares recruiting challenges and screening signals for Morgan Stanley versus Goldman Sachs. The speaker says Morgan Stanley emphasizes culture and personality fit, looking for a more talkative candidate eager to learn, while Goldman Sachs looks for data-centric, analytical skills reflected in a candidate’s background. They explain that relationship-building shows up when candidates involve themselves in the conversation, share personal details, and keep calls longer, whereas data-minded candidates focus on numbers, metrics, ratios, conversions, and building dashboards with tools. The recruiter’s screening is framed as listening for these differing communication patterns on the phone.</description></oembed>