Raphael Mankopf
Founder / Quant Developer
Experience
Nov 2021 - Oct 2022
1 yearNew 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 6 monthsBerlin, 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 monthsBerlin, 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 monthsBerlin, 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 2018
1 year 7 monthsBerlin, 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 monthsStockholm, 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
Multiple clients
- Developer / Data Scientist / Advisor supporting protocols and blockchain-technology companies
Languages
German
NativeEnglish
AdvancedSpanish
IntermediateSwedish
Elementary Education
Sep 2015 - Jun 2016
Nova University of Lisbon
MSc International Management – CEMS Double Degree · Portugal
Aug 2014 - Jan 2017
Stockholm School of Economics
MSc Economics, Applied Economic Analysis · Sweden
Sep 2011 - Jul 2014
Maastricht University
BSc International Business, Major in Finance · Netherlands
...and 1 more
Certifications & licenses
Neural Networks and Deep Learning
DeepLearning.AI
Stanford Machine Learning
Stanford
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