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📄 Extracted Text (337 words)
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
ℹ️ Document Details
SHA-256
570e1d2e139ba640b1d2789661270ca13f425f54856a16382196c343a2d416d6
Bates Number
EFTA01378643
Dataset
DataSet-10
Type
document
Pages
1
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