Stefan Zohren — AI Researcher

Stefan Zohren is an applied machine learning expert with over 15 years research experience in academia and industry. He is an Associate Professor and faculty member of the Department of Engineering Science, University of Oxford, and former Deputy Director of the Oxford-Man Institute of Quantitative Finance. He was previously a Fellow of the Alan Turing Institute and Associate of the Oxford Internet Institute. Outside of academia, Stefan works as a Principal Researcher and former Scientific Advisor at Man Group. He has extensive consulting experience in leading machine learning projects in application domains such as finance and healthcare with clients ranging from listed companies to SMEs and startups. Stefan is also a frequent speaker on AI in finance at academic conferences, as well as industry panels and corporate events.

Stackforce AI infers this person is a Fintech expert specializing in machine learning and quantitative finance.

Location: London, England, United Kingdom

Experience: 17 yrs 3 mos

Skills

Machine Learning
Deep Learning
Quantum Optimisation
Execution Research
Quantitative Trading
Statistical Arbitrage

Career Highlights

Over 15 years of experience in applied machine learning.
Expertise in machine learning applications in finance and healthcare.
Frequent speaker on AI in finance at conferences.

Work Experience

University of Oxford

Associate Professor and Faculty Member of Engineering Science (5 yrs 2 mos)

Deputy Director of Oxford-Man Institute (1 yr 11 mos)

Associate at Oxford Internet Institute (6 yrs)

Faculty at Engineering Science & Senior Research Fellow in ML in Finance at Oxford-Man Institute (3 yrs)

Visiting Researcher at Quantum Technology Theory Group (2 yrs)

Research Fellow in Quantum Optimisation and Machine Learning at Quantum Technology Theory Group (2 yrs)

Visiting Researcher in Theoretical Physics & Elected Visiting Fellow (2 yrs)

Postdoctoral Researcher in Theoretical Physics & Lecturer at Christ Church (2 yrs)

Creative Destruction Lab

Mentor - Fintech stream (3 yrs)

The Alan Turing Institute

Turing Fellow (2 yrs)

Man Group

External Scientific Advisor / Principal Quant (6 yrs)

Virtu Financial

Quantitative Strategist - Quantitative Trading and Machine Learning Research (1 yr)

KCG Holdings, Inc.

Quantitative Strategist - Quantitative Trading and Machine Learning Research (2 yrs)

Imperial College London, Department of Physics

Honorary Research Associate (3 yrs)

Education

Doctor of Philosophy (Ph.D.) at Imperial College London

Doctor of Philosophy (Ph.D.) at Leiden University

Graduate Certificate at Stanford University

Diploma for Graduates at The London School of Economics and Political Science (LSE)

Master’s Degree at Utrecht University

Bachelor’s Degree at RWTH Aachen University

Stefan Zohren

AI Researcher

London, England, United Kingdom17 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Over 15 years of experience in applied machine learning.
Expertise in machine learning applications in finance and healthcare.
Frequent speaker on AI in finance at conferences.

Stackforce AI infers this person is a Fintech expert specializing in machine learning and quantitative finance.

Contact

Skills

Core Skills

Machine LearningDeep LearningQuantum OptimisationExecution ResearchQuantitative TradingStatistical Arbitrage

Other Skills

Time Series AnalysisReinforcement LearningNatural Language ProcessingQuantum ComputingProject ManagementIndustry LiaisonQuantitative AnalysisMachine Learning ResearchMarket MakingTheoretical PhysicsMathematical ModelingStatisticsBayesian inferenceNumerical AnalysisR

About

Experience

University of oxford

8 roles

Associate Professor and Faculty Member of Engineering Science

Promoted

Jan 2021 – Present · 5 yrs 2 mos

I am a member of the Machine Learning Research Group within the Department of Engineering Science at Oxford.
My research is focused on applied machine learning in finance, economics and natural sciences, with a special focus on deep learning for time-series modelling, as well as financial applications of reinforcement learning, networks and NLP approaches. I am also interested in early use cases of quantum computing.

Machine LearningDeep learningTime Series AnalysisReinforcement LearningNatural Language ProcessingQuantum Computing

Deputy Director of Oxford-Man Institute

Jan 2021 – Dec 2022 · 1 yr 11 mos

Associate at Oxford Internet Institute

Jan 2018 – Jan 2024 · 6 yrs

I have been teaching the machine learning module of the MSc in Social Data Science since its inaugural cohort of 2018/2019. I also act as a MSc thesis supervisor.

Faculty at Engineering Science & Senior Research Fellow in ML in Finance at Oxford-Man Institute

Jan 2018 – Jan 2021 · 3 yrs

Visiting Researcher at Quantum Technology Theory Group

Jan 2016 – Jan 2018 · 2 yrs

Research Fellow in Quantum Optimisation and Machine Learning at Quantum Technology Theory Group

Jan 2014 – Jan 2016 · 2 yrs

I was a Research Fellow coordinating the Quantum Optimisation and Machine Learning project (a fixed-term pure research position at the level of Lecturer/Assistant Professor).
The Quantum Optimisation and Machine Learning Project is a joint endeavour between the University of Oxford, Nokia and Lockheed Martin. The aim of the project is to understand the potential for quantum technology to enhance optimisation and machine learning tasks. Besides theoretical research, the project profited from access to the D-wave quantum annealing system through Lockheed Martin and later through NASA.
My work involved research through academic publications and development of intellectual property, as well as supervision of students and visitors. On the project management side, I was involved in liaising with industry partners and other academic groups, as well as in setting the scope and future direction of the project. Furthermore, I worked as a College Lecturer at Worcester College, where besides teaching, I was also involved in undergraduate admissions. I also acted as an outside consultant in machine learning for a London based analytics startup.

Quantum OptimisationMachine LearningProject ManagementIndustry Liaison

Visiting Researcher in Theoretical Physics & Elected Visiting Fellow

Jan 2012 – Jan 2014 · 2 yrs

The period from 2012-2014 I spent in Rio de Janeiro as an Assistant Professor in Theoretical Physics, keeping close ties with Oxford as visiting researcher and through an elected Visiting Fellowship in 2013.

Postdoctoral Researcher in Theoretical Physics & Lecturer at Christ Church

Jan 2010 – Jan 2012 · 2 yrs

Creative destruction lab

Mentor - Fintech stream

Jan 2021 – Jan 2024 · 3 yrs · Oxford, England, United Kingdom

The alan turing institute

Turing Fellow

Jan 2021 – Jan 2023 · 2 yrs

Machine LearningExecution ResearchQuantitative Analysis

Man group

External Scientific Advisor / Principal Quant

Jan 2018 – Jan 2024 · 6 yrs · London, England, United Kingdom

Principal quant in Man Group’s central trading division, focusing on execution research across derivatives traded by the company, including futures and FX. Leveraging modern machine learning techniques and close collaboration with Man Group's investment engines. Worked with Man Group’s central trading division since 2018, first as an external scientific advisor, and later as principal quant.

Virtu financial

Quantitative Strategist - Quantitative Trading and Machine Learning Research

Jan 2017 – Jan 2018 · 1 yr · London, United Kingdom

Virtu Financial is a leading financial firm that leverages cutting edge technology to deliver liquidity to the global markets.
I joined Virtu through its acquisition of KCG, where I worked previously (see below). I was primarily based in London but also spent time in Dublin.
As a result of the merger, I became the leading quant overlooking model-driven EU equities market making, which included merging those strategies and adapting them for MiFID II.

Kcg holdings, inc.

Quantitative Strategist - Quantitative Trading and Machine Learning Research

Jan 2016 – Jan 2018 · 2 yrs · London, United Kingdom

I was a Quantitative Strategist working on Equities Market Making, Statistical Arbitrage and Machine Learning Research. In 2017 KCG was acquired by Virtu Financials, where I continue to work.
During my time at KCG, I was also a Visiting Researcher at the University of Oxford working on Quantum Optimisation and Machine Learning, as well as occasionally lecturing courses in Statistical Learning for Data Science on an honorary basis.

Quantitative TradingMachine Learning ResearchMarket MakingMachine Learning