EFTA01378643.pdf

DataSet-10 1 page 337 words document
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From: Corinna-A Reibchen Sent: Tuesday, November 27, 2018 4:16 PM To: Stewart Oldfield < Subject: RE: MR / LR remediation - your portfolio Hello Stewart, Thank you for your feedback, Can we talk on Tuesday the upcoming week? When would you have time? Thank you. Best, Corinna From: Stewart Oldfield Sent: Monday, November 26, 2018 6:40 PM To: Corinna-A Reibchen < Cc: Bradley Gitlin < >; Richard larossi < Subject: RE: MR / LR remediation - your portfolio Corinna, thanks for this. Happy to discuss whenever you like. I'm open tmw from 2-4 and most of the rest of week between 10 and 4. Thanks From: Corinna-A Reibchen Sent: Tuesday, November 20, 2018 7:25 PM To: Stewart Oldfield < Subject: MR / LR remediation - your portfolio Dear Stewart, My name is Corinna Reibchen. I am the CEO of passcon LLC, a consulting firm specialized in KYC for the banking sector. Passcon has been hired by Deutsche Bank Wealth Management U.S. to support the high risk remediation in 2018 as well as low and medium risk remediation in 2019. As per Thomas Klemm's email from Friday November 16m, we have compiled all relevant data points from the static data systems (like dbForce and GMIS) to provide you with an overview of your individual client portfolio in scope for the 2019 low and medium risk remediation. Please find attached your individual client portfolio which will be part of this remediation. What are we doing for you? Our primary goal is to perform the low and medium risk remediation as seamlessly as possible for you and your clients. For this reason, we are currently discussing integrating client outreach into the KYC process, which will be conducted by passcon's well-trained KYC Analysts. We see this as an exciting new development in the KYC process, as it will allow you to focus on developing your client relationships, while we take ownership over retrieving documents to complete the cases. CONFIDENTIAL - PURSUANT TO FED. R. CRIM. P. 6(e) DB-SDNY-0075860 CONFIDENTIAL SDNY_GM_00222044 EFTA01378643
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SHA-256
570e1d2e139ba640b1d2789661270ca13f425f54856a16382196c343a2d416d6
Bates Number
EFTA01378643
Dataset
DataSet-10
Type
document
Pages
1

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