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.” from Simon Sinek. Start with Why: How Great Leaders Inspire Everyone To Take Action.


Recipient of the FD Gazellen 2018 award!

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.

We distinguish ourselves from our competitors by having access to the best data in the market, and by having relevant domain knowledge in lending, credit portfolio management, loan trading, data pooling and securitization. Our international team, with 8 different nationalities, develops software and provides SAAS services and consultancy to lenders and investors in loans based in the European Union, Australia and North America.

Products

We offer the following products

Metis

Metis evaluates existing portfolios, on the bank’s balance sheet and helps assess the new origination guidelines, dividend policy and distribution strategy in the context of the changing regulatory (IFRS9/CECL and Basel IV) and macro-economic environment. The typical users are in charge of portfolio analytics and making strategic decisions.


Athena

Athena is an easy-to-use tool for the analysis of credit risk transfer transactions. Taking both the originator and the investor perspective, Athena shows the economic effects of a credit risk transfer transaction in function of transaction structure, macroeconomic (stress) scenarios and regulatory changes like Basel 4 and IFRS9/CECL. The typical users are responsible for credit portfolio execution, structuring of transactions, brokers and investors/asset managers.


Loan Qualifier

Clean, consistent and reliable data is of the essence and drives the ability of lenders and investors to make informed decisions. To this end we support our clients continuously with analysis, monitoring of the quality of large loan portfolios.


Mortgage Analyser

An interactive dashboard designed to analyse residential mortgage portfolios, allowing investors and portfolio managers to better understand the portfolio characteristics and changes in valuation. Provides lifetime loss (IFRS9) estimates and daily valuations (IFRS13).


SME PD Model

OSIS has developed a statistical model to predict the probability of default (PD) of Dutch SME’s in line with the Basel definition of default. Herewith we overcome the lack of data with small banks and alternative lenders and make them become more recognizable by regulators and institutional investors. We hope this model will support small banks and alternative lenders to become a competitive and growing source of financing in the Dutch SME market.


Financial Statement Scraper

The Financial Statement Scraper is a web-based software that allows the user to convert Pdf documents into easy-to-handle structured data. The tool will produce and store standardized, digitized and curated data in order to automatically feed reports and calibrate models.


Our Solutions

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

We offer a broad range of solutions including, data curation, data quality monitoring, data visualization, investor reporting and credit modelling based on Basel, IFRS 9, Solvency II and stress testing, as well as IFRS 13 valuations and portfolio management and credit risk transfer dashboards. In addition, we work with partners on NPL trading, mortgage trading and SME load management initiatives.

Data Curation

Since 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 loans, between loans in the same pools and consecutive loan reports.

Credit Models

Credit risk analysis is complex because 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.

Latest Updates

News, regulations and research

FD Gazelle Award

OSIS received the FD Gazelle award. We are placed #12 in the category small companies in the region West. We are very proud, thankful to our clients and will carry on!

Nomination - Best Econometric Thesis Award (βETA)

In order to improve the statistical models of Open Source Investor Services, Michael Hogers researched the relation between default rates and loss given default for US mortgages. The thesis has been nominated by coordinators of the Econometric Institute of Rotterdam and represents the Quantitative Finance specialisation. The thesis shows that while macro variables and default rates share common cycles for conventional US mortgages, a unique cycle is observed for loss given default, implying that the relation between the default rate and loss given default is weak for conventional US mortgages. https://faector.nl/students/education/best-econometric-thesis-award-beta



OSIS nominated for the FD Gazellen 2018

OSIS has been nominated for the FD Gazellen Awards which is an annual award for the fastest growing companies in the Netherlands. Each year the Financieel Daglad, a Dutch daily financial newspaper, announces the winners of this prestigious contest. The 2018 winner will be announced in November. Click on the link below to read more about this award and the criteria for entry.
https://fd.nl/ondernemen/1251789/criteria-fd-gazellen-2018



OSIS will speak at SCI’s 4th Annual Capital Relief Trades Seminar, 16 October 2018, London

OSIS will be participating in one of the panel discussions at the SCI’s 4th Annual Capital Relief Trades Seminar. We are very happy to be attending as this seminar in London and the SCI CRT conference in New York, are the best places for banks and investors in CRT transactions to meet and discuss the latest developments in this field.
https://www.structuredcreditinvestor.com/capital-relief-trades-seminar-October-2018/#schedule