Maximilian Hopf, Developer in London, United Kingdom
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Maximilian Hopf

Verified Expert  in Engineering

Artificial Intelligence (AI) Developer

London, United Kingdom
Toptal Member Since
June 4, 2019

Max is a data science and machine learning expert specializing in deep learning and natural language processing. He is an expert in the finance and healthcare domains. He helped build one of Germany's most highly funded fintechs and successfully founded his own AI company in London. Max also built and led the data team of Garner Health for one of the most successful US healthtech companies, scaling the team from one to 25 people and more than $100 million in annual revenue.



Preferred Environment

Slack, Jupyter, Git, Python

The most amazing...

...project I've worked on is a machine learning algorithm that accurately predicts the outcome of tennis matches.

Work Experience


2018 - PRESENT
Pylink, Ltd.
  • Developed natural language processing algorithms to extract information from legal documents.
  • Led the development and deployment of a financial modeling software for the structured finance sector.
  • Developed credit scoring algorithms for subprime loan applicants. This was a client project.
  • Developed machine learning models for the prediction of sports events for systematic sports betting. This was a client project.
  • Developed an NLP model to detect hateful comments on social media. This was a client project and resulted in the publication of a scientific paper.
  • Worked with the BCG marketing team building advanced analytics solutions for email marketing data and optimizing the email targeting and content selection. Additionally, built an NLP model to identify important news topics for future thought leadership campaigns.
Technologies: Python

Expert Data Scientist

2016 - 2017
Kreditech SSL, GmbH.
  • Performed research and development in machine learning technology underlying the Kreditech world-class credit scoring system.
  • Led the development of a programmatic bidding engine for Google Adwords campaigns. Developed a reinforcement learning algorithm significantly outperforming human experts.
  • Developed a sophisticated attribution model (Deep LSTM).
  • Developed several natural language processing (NLP) algorithms.
  • Applied machine learning algorithms to improve the efficiency of marketing channels.
  • Built predictive models for customer behavior.
Technologies: Python, R

Financial Risk Manager

2014 - 2015
Alceda Fund Management, S.A.
  • Oversaw UCITS and hedge funds as the risk manager.
  • Developed and implemented risk and valuation models (Regression, Time Series Analysis, Monte Carlo Simulation) for the market, liquidity, credit, counterparty, and operational risks.
  • Responsible for the valuation of OTC instruments.
  • Reduced processing time from hours to seconds by automating work-intensive processes with R and VBA.
  • Developed and controlled performance fee calculation models.
Technologies: Python, Visual Basic for Applications (VBA), R

Predictive Model for Tennis Betting

This model uses a rich dataset to predict the outcome of professional tennis matches. Its accuracy is high enough to be used in professional sports betting.

Kreditech's Credit Scoring Algorithm

At Kreditech Max was part of a team that developed probably the world's most advanced credit scoring algorithms. These algorithms allowed the company to underwrite loans in a market segment that is considered too risky by traditional banks.

Optimizing Email Marketing Campaigns

Worked with the BCG marketing team building advanced analytics solutions for email marketing data and optimizing the email targeting and content selection.
2010 - 2013

Master of Science Degree in Economics and Finance

Saarland University - Saarbrücken, Germany

2011 - 2011

Exchange Program Participant as Part of a Bachelor's Degree in Finance

Shanghai University of Finance and Economics - Shanghai, China

2007 - 2010

Bachelor of Science Degree in Mathematics

Ulm University - Ulm, Germany


Financial Risk Manager (FRM)

Global Association of Risk Professionals (GARP)


Pandas, NumPy, Scikit-learn, TensorFlow


Git, PyCharm, Jupyter, Slack


Python, R, SQL, Excel VBA, Visual Basic for Applications (VBA)


DevOps, Data Science, Agile Software Development, Scrum, Kanban


Artificial Intelligence (AI), Financial Modeling, Deep Learning, Machine Learning, Natural Language Processing (NLP), Supervised Learning, Unsupervised Learning, Gradient Boosting, Regression Modeling, Classification Algorithms, Time Series Analysis, Forecasting, Computer Vision, Natural Language Understanding (NLU), Generative Pre-trained Transformers (GPT)

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