Next Generation

Financial Technology

Data Modeling

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Statistical Analysis

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Asset Optimization

Mission

Founded in 2015, Valdon Mesh GmbH is a software boutique and consulting company in the field of financial technology and quant finance based on the belief that business is about people and the transfer of knowledge. We are passionate about our mission to bridge the gap between academia and industry by transfering cutting edge academic knowledge and research into consultancy and technology services, delivering fully fledged solutions to the financial industry. Valdon consists of a dedicated and driven group of individuals operating with great levels of integrity, quality, and transparency. We provide services designed for regulatory compliance and business enhancement and strives for continuous and sustainable innovation. Members of Valdon have extensive work experience with risk and trading models of large private and investment banks as well as for international clearing houses on the one hand, and deep knowledge of the theoretical frameworks from their academic careers and research affiliations on the other hand. In addition, we offer customer tailored consultancy services and solutions in model validation, model development, evaluation and assessment of financial risk, and other fields. Valdon Mesh is a service oriented company and, as such, focused on our clients and their success.

Services

Model Building

Develop, build, and implement

Valdon is a specialist in model development and building with focus on large scale risk and trading models for assessing and predicting business related quantities of time series. Examples are rating tools, value-at-risk and expected shortfall forecasts, quantile predictions, and dynamic margin requirement models for exchanges and clearing houses. Particular attention is given to most recent developments in technology and research in univariate and multivariate time series modeling and applications.

Data Analysis

Big data and deep learning made real

Data science is a good deal more valuable than most firms realize, and a great untapped resource. By combining the various types of data accumulated in a company's daily business, potentially scattered around different departments, systems and entities, business activities can be substantially enhanced and refined. Valdon offers the necessary knowhow, statistical expertise, partnerships and technology to uncover, analyze and process big data. This includes the latest endeavors in machine learning.

Optimization

Making the most of it

Optimization is key to success in understanding complex systems. Valdon offers specialists' knowledge and tailored solutions to optimization problems in statistics, econometrics, and other data related fields, such as bioinformatics and computer vision. Topics in finance include risk management, option pricing, high frequency data analysis, and portfolio optimization, to name a few. Modern optimization methods and techniques are a cornerstone of Valdon and available in-house. Also, Valdon covers the technical side of the story.

Model Validation

Regulatory Compliance

Being regulatory compliant is becoming stringent and a competitive factor. Due to soaring regulators' demand for better analytics and more frequent reporting, banks, insurers and other financial institutions need to continuously validate their internal risk and trading models. Valdon provides a suite of validations for a broad spectrum of risk models: variance, value-at-risk, expected shortfall, portfolio downside risk, time series risk factors, rating tools, and others; tailored to individual requirements and specifications if desired.

Company Leadership

Matteo Bonato, PhD
Managing Partner
Lars Jochen Krause, PhD
Managing Partner
Sven Christian Steude, PhD
Managing Partner

Research

At Valdon, R&D is extremely important. It is the actual process through which innovation is reached. The Valdon team is constantly with an eye on the latest academic research, and its members themselves are still actively publishing. Most publications are in the field of financial econometrics and time series analysis. Research output finds applications in the field of commodity pricing, model validation, portfolio optimization, and risk management.

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Financial Technology Expertise

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