About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

SGSS Highlights Expedited Data Support for Outsourced Customer Credit Suisse Asset Management in Germany

Subscribe to our newsletter

As part of its outsourcing deal with the Germany-based asset manager, Société Générale Securities Services (SGSS) migrated Credit Suisse Asset Management’s data in just six months, according to the asset servicing firm. The implementation involved moving data regarding 66 funds and around 7,000 individual positions to investment management system SimCorp Dimension.

Credit Suisse Asset Management in Germany decided to outsource its fund administration in light of increasing regulatory constraints, growing market complexity and the need to focus on sales, portfolio management and investor services as core competencies, according to EMEA COO of the firm Gerhard Lohmann. SGSS Deutschland Kapitalanlagegesellschaft has been acting as the firm’s general funds administrator since October 2010, when the previous investment company, Credit Suisse Asset Management Kapitalanlagegesellschaft, was sold to SGSS and merged with it. SGSS provides the asset manager with front to back infrastructure for fund admin, including data management services as required by the risk and regulatory and customer reporting functions

The data migration aspect of the project was completed in “record time,” according to SGSS, noting that it took six months rather than the average nine. The process involved 66 funds at a volume of €6.5 billion with around 7,000 individual positions, implementing and designing 50 new reports, 300 investment guidelines and connecting 20 external partners that included deposit banks, advisory partners and investment trust companies.

Migration involved only two steps that took place within two weeks: 26 funds were transferred in the ?rst step, and 40 in the second. The process took place on two weekends, with 25 employees involved. In total, 40 staff were involved in the project, to which they dedicated between 10 to 100% of their working hours.

Given the appetite for outsourcing within the investment management community, which is faced with a barrage of new regulatory requirements, it is likely that asset services such as SGSS will be involved in many more of these projects over the course of this year. The data transparency aspects of the new regulation will also likely compel this requirement to be a focus of many of these deals going forward.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for...

BLOG

Teciem Launches with New Investment Focus on Treasury, Capital Markets, Risk and Regulatory Technology

When Teciem formally launched as a standalone company in early February, it marked the culmination of a process that had been several years in the making. The business, formerly Finastra’s Treasury and Capital Markets (TCM) unit, now operates independently with a singular focus: delivering mission-critical technology for treasury, capital markets, risk management and regulatory compliance....

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...