Translating compelling academic research
to boost your business performance
The Oxford Intelligence Lab is a global, technology-oriented boutique consulting firm leveraging interdisciplinary academic research to develop disruptive solutions that shape the future.
We offer a full range of technology consulting services covering a wide spectrum of topics and industries. Past assignments in financial services include the improvement of business intelligence and customer satisfaction through the analysis of big data, statistical modelling, the implementation of risk models to keep up with compliance and Basel regulations, the running of stress testing models to analyse sector behaviours and feedback loops in financial markets.
We invent unique solutions, tailored to the specific needs of our clients.
We translate compelling academic research to create disruptive, unique solutions in process optimisation, which shape the future.
The capturing, storage and preprocessing of data is the first step in extracting value from already established business processes and data stocks. This can lead towards predictive and / or user behaviour analytics.
We assist our clients not only in organising their current data, but also help them develop new ways to improve the scope and breadth of their data collection processes.
OIL offers a broad range of services around data analytics. We have gathered a deep expertise in applying analytical tools, formulating and implementing empirical analyses, and building business intelligence. This includes the application of sophisticated statistical and econometric methods to real-world data, including advanced structural modelling and regression analysis, numerical techniques, machine learning algorithms, time series analysis, forecasting, and simulations.
Informed decision-making of any business hinges on asking the right questions; performing solid, data-driven analysis; and interpreting the results in light of the broader competitive landscape and with business acumen. Our team can help you improve the performance of your decision-making and reach better, more sustainable results - regardless of whether your goal is managing risks, addressing customers needs, improving logistics or putting together a targeted marketing campaign.
It’s in the gap between reality and a model where sound judgement and experience matter.
Our approach is grounded in academic theory, backed by decades of empirical research and requires experience for sound judgement.
Understanding and detecting patterns in data is the starting point. From here, we focus on fine tuning by applying deep learning algorithms to emulate the human experience factor and develop a system that is able to continually update itself and process new information. Such a sophisticated system optimises for large and small gains, as even minor improvements add up and compound over time.
The art of the science is the abstraction: the right tool for the right job!
As a modern consulting firm providing analytical, numbers-driven solutions, Oxford Intelligence Lab's focus lies on three main areas: Economic & Litigation Consulting, Data Analytics & Machine Learning, and Finance. For this, our interdisciplinary team combines expert knowledge in the many fields we cover and top-notch analytical, quantitative skills that allow us to tackle complex issues involving large amounts of data. The common denominator is that we handle every assignment differently and work hard to provide a unique, tailored solution.
Economic & Litigation Consulting
Oxford Litigation Consulting offers highly sophisticated, data-driven analysis and expert testimony to financial institutions, corporations, public bodies, SMEs, and private individuals, which seek to understand and solve complex issues in the areas of litigation, finance, regulation, compliance, competition, and risk management.
Data Analytics & Machine Learning
Relying on industry-grade database technologies and statistical tools, we analyse large quantities of data for our clients to provide them with the insights required to drive their business, like trends, correlations, interdependencies, customer segments. We also apply machine learning algorithms to identify patterns in the data and provide optimisation solutions for our clients' businesses. While we have advised the financial services sector, a central, the public sector and a telecommunications company so far, the services of this practice are not limited to a specific industry sector or business function.
In the Finance practice we provide banks, investment firms and other companies with solutions related to quantitative finance and financial risk management. For instance, we develop strategies for trading and hedging, structure the financing of large investment projects or merger transactions, conduct empirical research and build financial models.
We offer world-class algorithm assembly and interpretation services for a diverse range of clients
Generate ideas that advance the world and develop innovative solutions that shape the future.
We made it our mission to translate compelling academic research to find innovative, data-driven solutions that shape the future. In order to deliver the best results and benefit from recent advances in the field, we work in a distinctive collaboration with a broad network of experts and interdisciplinary academics from leading universities. We treat each assignment individually and provide you with a solution tailored to your specific demands.
Our team is young, diverse, interdisciplinary, and has expertise in the fields of economics, finance, marketing, mathematics, computation, statistics, law, engineering, and data science. Thanks to our team, the Oxford Intelligence Lab can assist you in solving complex, quantitatively challenging problems on a wide range of topics.
Projects in Progress
Dr. Frederic Schweikhard
Frederic Schweikhard is a Partner at Oxford Intelligence Lab Ltd. In this role, he draws on more than 10 years of experience in finding solutions to complex, quantitatively challenging problems, both in an academic and a business context. In his earlier career, he was a researcher at the Universities of Oxford, Frankfurt, and at MIT. During his time at the University of Oxford he worked as a Senior Research Fellow at the Oxford-Man Institute of Quantitative Finance in the area of financial economics, and as a lecturer at Saïd Business School for M.B.A. and M.L.F. students. In his research, he examined the impact of government interventions during the 2008/09 financial crisis on the pricing of debt and conducted research with Robert C. Merton at MIT Sloan. His work has been awarded several prizes and been widely covered in the press. Besides his formal background in economics and finance, he is an IT expert and worked on two startups. Frederic holds a Ph.D. in Finance from Goethe University Frankfurt, Germany.
Board of Directors
Dr. Zoe Tsesmelidakis
Zoe Tsesmelidakis is founding Partner of Oxford Intelligence Lab Ltd. and an Associate Member of Oxford University's Oxford-Man Institute of Quantitative Finance (OMI). She draws on an extensive experience in financial economics and regulation. Before joining she was a Research Manager in Financial Stability Strategy and Risk at the Bank of England. In her earlier academic career she was a Junior Professor in Finance at the University of Münster (Germany), a Senior Research Fellow / Assistant Professor at OMI in the area of financial economics, and she was affiliated with Nuffield College and Saïd Business School where she has been teaching undergraduate, Master's and MBA students. In her doctoral studies she investigated the impact of implicit government guarantees on the pricing of debt and conducted collaborative work with Robert C. Merton at MIT Sloan. Her work has been awarded several prizes.
Zoe received a M.S. in Business Administration and a Ph.D. in Finance from Goethe University Frankfurt, Germany.
Dr. René Lohrbach
René Lohrbach is a Partner at Oxford Intelligence Lab Ltd. He founded a wide range of ventures in the field of consulting and ecommerce. He managed high-profile industrial projects in the Gulf region as well as in South East Asia. In terms of academics, he was a member of the research team "International Political Economy" of GAPS and is still active in teaching. During his doctoral studies, he analysed the quantitative impact of public sustainability programs on economies and business sectors.
René received a M.S. in in Business Administration and a M.S. in Politics from Goethe University Frankfurt, Germany as well as a M.S. in Economics of the University of Hagen. He was a visiting scholar at Harvard University in 2008.
Prof. Robert C. Merton
Robert C. Merton is an External Adviser of the Oxford Intelligence Lab Ltd. He is the School of Management Distinguished Professor of Finance at Massachusetts Institute of Technology, and the John and Natty McArthur University Professor Emeritus at Harvard University. Merton received the Nobel Prize in Economics in 1997 for a new method to determine the value of derivatives. He has also been recognized for translating finance science into practice and has been granted multiple awards for his contributions to finance theory, optimal portfolio selection, credit risk, loan guarantees, financial innovation, the dynamics of institutional change, and improving the methods of measuring and managing macro-financial risk.
Merton received a B.S. in Engineering Mathematics from Columbia University, a M.S. in Applied Mathematics from California Institute of Technology and a Ph.D. in Economics from MIT and holds honorary degrees from sixteen universities.
Ghozlane Yahiaoui is an external data scientist at Oxford Intelligence Lab and a doctoral scholar in the Mathematical Institute of the University of Oxford. Her research focuses on Partial Differential Equations (PDEs). Previously, she obtained her Master’s in Applied Mathematics / Finance from the Université Paris-Dauphine. She has also been working as a data scientist for Société Générale, applying different machine learning techniques such as neural networks and random forests to improve predictability and optimise the pricing of insurance products. Her fields of expertise are mathematics, statistics, bayesian statistics, numerical analysis, computer sciences (Java, SAS, Latex, Matlab, R, Python), stochastic processes, optimisation problems, control theory, and mean field games.
Christopher Hsu is a doctoral scholar in the Law and Economics of Money and Finance at the House of Finance at Goethe University in Frankfurt. Previously, he obtained his Master’s in Law and Finance at the University of Oxford, where he was awarded the BNY Mellon Prize. He has also studied law and business administration in the US, Germany, and Greater China. In addition, he has worked for the Taiwanese government and tier-one international law and consulting firms.
Associates & Consultants
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We are always looking for young talents and experts. If you consider working with us, just send us your C.V. to email@example.com