RiskDataScience

Our focus is on increasing the effectiveness and clarity of risk management, compliance and planning for financial services providers. To do this, we use innovative AI and other quantitative methods and support our customers in gaining a holistic and structured understanding of the key risks and successfully mastering regulatory requirements. By using executable prototypes, which we further develop as needed, we offer maximum flexibility and guarantee practical solutions.

Customers in the B2B sector can use this to improve their information base, to recognize relationships more effectively and to increase the quality of forecasts. Processes can be optimized and costs reduced through better analysis, greater flexibility, and a more adequate presentation of results. Especially in the currently tight financial environment, the active development of data science / digitization procedures can generate decisive competitive advantages.

We offer our solutions according to customer requirements in the form of consulting projects or as software packages. Wherever possible, we follow the approach of prototype-based consulting, in which we bring in program solutions that have already been developed and adapt them to the customer’s requirements within the framework of corresponding projects.

Our solutions include various fields, among others

for text analysis, where, in addition to general consulting service, we offer the following application categories in particular:

Classification: Based on suitable training data, our tools enable the classification of “new” texts, for a detection e.g. of bankruptcies or relevant trading news.

Semantic analysis: Texts can be grouped by similarity using our Regulytics® application or even compared at a granular level in terms of content. An application of this concerns the efficient analysis of regulatory text.

Association analysis: Content-related associations between terms and/or texts can be represented automatically and for any corpora as networks and analyzed using the methods of network science. This effectively identifies themes discover contextual associations.

Translation: Our specialized offline translator enables the translation of confidential texts in a financial context.

LLM prompting: We support prompt design and API programming for LLMs such as GPT. We also offer methods to quantify and mitigate “hallucinations”.

for the (quantitative) Risk Management:

Our AI methods enable ad-hoc forecasting of risks.

In addition, we offer efficient methods for derivatives and risk calculations using neural networks, which accelerate calculations by a factor of millions compared to Monte Carlo simulations.

By combining methods from the areas of Artificial Intelligence and Financial Risk Management, we have developed methods for the automated portfolio optimization in terms of risk/return aspects

We offer extensive tools for credit, market and operational risk on a VBA and Python basis.

In this context, we also offer methods that can be used to classify market phases using data science methods and possibly identify looming crises.

Our proprietary “Classification VaR” methodology quantifies the risks associated with the use of automated classification techniques.

for balance sheet, P&L, capital and liquidity planning of banks

We continuously develop our methods and solutions according to the requirements of our customers.

For creating sustainable value for its customers, RiskDataScience relies in particular on

Experience: the CEO of RiskDataScience holds a doctorate in physics and has many years of experience in the financial industry as a banker, consultant and auditor.

Pragmatism: RiskDataScience has developed executable prototypes for all use cases presented on the website as well as all other offered use cases. For all concepts offered, the focus is always on application and feasibility.

Flexibility: as a small and independent company, RiskDataScience offers solutions adapted to the respective customer requirements and develops them together with the customers.

Efficiency: RiskDataScience relies on solutions that are as simple as possible and as complex as necessary. As far as possible and desired, open source tools are used, which considerably reduces costs.

Transparency: RiskDataScience does not offer black box tools, but gives customers direct insight into how offline solutions work. Thus, the tools can be further developed independently and used sustainably.

We have received the BSFZ seal as confirmation of our entrepreneurial innovation competence.