Open Source Investor Services

“If there were no trust, then no one would take risks. No risks would mean no exploration, no experimentation and no advancement of the society as a whole.”

Start with Why: How Great Leaders Inspire Everyone To Take Action.
From Simon Sinek.
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About Us

We empower people to trust their risk decisions. We make complex credit risk analysis easy to understand at all levels. It is clear for the board members of large international lenders but also easily understandable for smaller loan investors, thereby helping them to act as their own credit rating agencies. We do the heavy data lifting and create complex self-learning models behind the scenes, so our system users can be masters of their own destiny. We enable them to run their own stress scenarios, understand risk, and calculate the value of their loans.

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We offer the following products


OSIS develops software, provides SAAS services and consultancy to lenders and investors in loans in the EU, Australia and North America.

Data Curation

Eversince its inception, OSIS has been very active in providing data quality solutions to financial institutions. We provide services to originators and investors on evaluation, validation and monitoring of data quality at loan level. We apply automatic checks on data formats, uniqueness of loan identifiers, consistencies within and between loans in the same pools and consecutive loan reports.


Credit Models

Credit risk analysis is complex since data is always scarce and not fully representative of the future. As a result, no single data set will suffice and multiple sources of information (ranging from internal data to expert input) are needed. A dedicated statistical framework is required to coherently combine these multiple sources and an accomplished analyst will need to account for uncertainty in the model inputs.


Investor Due Diligence

The EC Proposal 472 was released on 30 September 2015 and concerns Simple, Transparent, Standardized (STS) due diligence and transparency concerning securitisation transactions. The EC proposal is mainly aimed at originators, but it is important to note that investors are required to use the information available in due diligence and on-going risk surveillance.


Valuation Reports

We offer fair market valuation service on Dutch Residential mortgages portfolios on an annual, quarterly, monthly or even daily basis. This valuation is in accordance with IFRS 13, using loan level data provided by the originators, aiming to meet both IFRS and prudential requirements. The calibrated risk parameters we propose are sensitive to borrower and loan characteristics as well as conditional upon forward-looking macroeconomic scenarios.



British Business Bank
European Data Warehouse
Global Credit Data
State Street
Van Lanschot

Latest Updates


Assessing Capital Efficiency under Different Approaches

by Jeroen Batema

Banks have become less capital efficient because of TRIM and Basel 4, resulting in competition from parties with direct capital markets funding. Credit Portfolio Managers are looking for ways to deal with this. Synthetic securitization is a measure for banks to do the same but they are complex to execute so how to find out when it is economically interesting?

At the event OSIS chaired a panel discussion with a bank (Santander) and an investor (PGGM) around the theme CPM and Risk Mitigation. As an introduction, results were presented from research on performance of various asset classes against different regulatory regimes and macroeconomic scenarios. Participants were interested in answers to the key question: Which asset classes in which countries offer best perspectives for a Synthetic Seduritization?

For more information, please contact us.

Global Credit Data

Standardized Data for Non-Performing Loans (NPLs)

by Stefan Pieters

NPL securitization becomes more and more frequent. Italy, Ireland and Portugal lead the way, new markets (e.g. Spain and Greece) are coming up. Banks in main NPL markets are underrepresented in GCD in terms of members as well as availability of data. NPL market is a supervisory priority and EBA is committed to enhancing the data infrastructure of NPLs.

The event, where OSIS hosted an interactive session, attracted member banks from all over Europe. Next to developments in the NPL securitizations market OSIS commented on the EBA NPL data templates in comparison to data pooled by GCD. Participants were interested in answers to the key question: How can GCD data help members to meet data requirements of NPL and attract new members in Southern Europe?

For more information, please contact us.

Structured Credit Investor

Combining Insights in RWA and ROI

by Stefan Pieters

Incorporating accounting and banking standards makes it challenging to structure a deal. However, providing insights in the consequences of various regulations and accounting standards adds to the opportunity to structure a deal successfully. Effects on CET1, MREL/TLAC, IFRS9 or CECL need be considered across the entire lifetime of the transaction, including additional structuring features like excess spread, clean up goals and optimisation algorithms for portfolio composition and tranching.

The event, where OSIS hosted an interactive workshop, attracted market leaders in the industry from both the banking and the investor side. We looked at different macroeconomic scenarios and regulatory regimes while looking for optimal portfolio composition, tranching and pricing for both parties. Participants were interested in answers to the key question: How to efficiently structure a CRT transaction from both the investor and issuer perspective?

For more information, please contact us.


Initiative to Boost SME LENDING

by Jeroen Batema

Since 2013, the volume of outstanding SME loans with the three main banks in The Netherlands has decreased by 40%. This is of great concern for the Dutch economy because we do not know whether, or if so when, this funding will return to the market. In the meantime, the number of alternative lenders has increased significantly. The lending volume, however, has not. One of the main reasons for this is lack of access to institutional funding.

The event, hosted by OSIS and TMF and with participation of SBR Nexus was attended by 40 Alternative Lending providers, Banks and Institutional investors. We looked at pooling of default & loss data and the use of industry-wide credit models (by OSIS), centralized loan & collateral & KYC servicing for lenders and investors (by TMF) and standardized financial statements & credit applications (by SBR Nexus). Participants were interested in answers to the key question: How can standardization take SME LENDING to the NEXT next level?

For more information, please contact us.