Raphael Mankopf

Project Lead | Lead Engineer | Senior Data Scientist

Raphael Mankopf
Berlin, Germany

Experience

Nov 2021 - Oct 2022
1 year
New York, United States

Founder / Quant Developer

Market Maker

Crypto Quant strategy development, automated trade execution, onchain data client (Ethereum/ Solana), data and trade architecture development for liquidity provision

Feb 2021 - Present
4 years 1 month
Berlin, Germany

Manager Data Science & Blockchain Technology

Roland Berger GmbH

  • Develop the digital asset strategy for multiple banks incl. custody technology set-up
  • Build the world's largest BTC mining operation in Abu Dhabi, incl. venture development for establishing a secure digital asset custody and commercialization strategy
  • Oil & gas commodities price and volatility forecasting using Deep-neural-networks, vector-autoregressive models and multi-layer ensemble models – leading the end-to-end software implementation with a team of 3 Data Scientists and 2 Data Engineers
Jul 2020 - Jan 2021
7 months
Berlin, Germany

Managing Consultant for Data Science

Capgemini Invent

  • Lead Data Science teams (3-8 FTE) in prototyping projects, being responsible for Analytics use-case development, Machine Learning model development & Project Sales (sole responsibility for 2.4 Mio. EUR project volume in 2020)
  • Consult a global pharma corp. from use case discovery to solution roll-out of ML driven competition monitoring tools supported by sentiment analysis and topic extraction for unstructured text
Jan 2019 - Jun 2020
1 year 6 months
Berlin, Germany

Senior-Consultant / Data Scientist

Capgemini Invent

  • Develop customized and machine-learning based trade surveillance solution, assessing trade volume, frequency, position size and traded contract type via ARIMA and LSTM models
  • Lead a team of 6 engineers in the implementation of an end-to-end real-time data feed (MS Kubernetes) to the leading energy exchanges globally (ICE, CME) via a FIX API protocol
  • Support a global investment bank to solve data quality issues by implementing customized machine learning applications for the back and middle office (Python / Pyspark / Hadoop)
  • Natural language processing for text classification by applying Latent-Dirichlet-Allocation/ unsupervised clustering to streamline the processing of text queries for financial products
Jun 2017 - Dec 2019
1 year 7 months
Berlin, Germany

Consultant / Data Scientist

Capgemini Invent

  • Develop Deep-Learning based anomaly detection model to allocate sensor errors and wrong data points via an autoencoder model (Pyspark, TensorFlow, Keras)
  • Statistical trend modelling to specify next vehicle purchase point and machine learning based classification to suggest most suitable vehicle configuration for a German premium OEM
Sep 2015 - Dec 2016
1 year 4 months
Sweden

Research & Teaching Assistant

Stockholm School of Economics

  • Data sourcing and cleaning (R/Python), multivariate regression analysis, logistic regression
  • Teach weekly seminars of 20-30 students about statistics, micro-/-behavioral economics

Freelance Consulting Project

Developer / Data Scientist / Advisor supporting protocols and blockchain-technology companies

Summary

Building the bridge between business leaders and technology developers

Languages

German
Native
English
Advanced
Spanish
Advanced
Swedish
Elementary

Education

Sep 2015 - Jun 2016

Nova University of Lisbon

MSc International Management – CEMS Double Degree · Lisbon, Portugal · 4.18

Aug 2014 - Jan 2017

Stockholm School of Economics

MSc Economics, Applied Economic Analysis · Stockholm, Sweden · 4.12

Sep 2011 - Jul 2014

Maastricht University

BSc International Business, Major in Finance · Maastricht, Netherlands · 7.97

Certifications & licenses

DeepLearning.AI - Neural Networks and Deep Learning

Stanford Machine Learning