Raphael Mankopf - Founder / Quant Developer

Q: Where is Raphael based?

Raphael is based in Berlin, Germany .

Q: What languages does Raphael speak?

Raphael speaks the following languages: German (Native), English (Advanced), Spanish (Advanced), Swedish (Elementary) .

Q: How many years of experience does Raphael have?

Raphael has at least 10 years of experience. During this time, Raphael has worked in at least 6 different roles and for 4 different companies . The average length of individual experience is 2 years and 8 months . Note that Raphael may not have shared all experience and actually has more experience.

Q: What is Raphael's latest experience?

Raphael's most recent position is Founder / Quant Developer at Market Maker .

Q: What companies has Raphael worked for in recent years?

In recent years, Raphael has worked for Market Maker and Roland Berger GmbH .

Q: Which industries is Raphael most experienced in?

Raphael is most experienced in industries like Banking and Finance , Energy , and Automotive . Raphael also has some experience in Education , Pharmaceutical , and Professional Services .

Q: Which business areas is Raphael most experienced in?

Raphael is most experienced in business areas like Research and Development (R&D) , Project Management , and Strategy and Planning . Raphael also has some experience in Business Intelligence , Product Development , and Information Technology (IT) .

Q: Which industries has Raphael worked in recently?

Raphael has recently worked in industries like Banking and Finance and Energy .

Q: Which business areas has Raphael worked in recently?

Raphael has recently worked in business areas like Research and Development (R&D) , Project Management , and Strategy and Planning .

Recommended expert

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

5 years 1 month

Berlin, Germany

Manager Data Science & Blockchain Technology

Roland Berger GmbH

Develop the digital asset strategy for multiple banks including custody technology set-up
Build the world’s largest BTC mining operation in Abu Dhabi, including 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, responsible for analytics use-case development, machine learning model development and project sales (sole responsibility for a EUR 2.4 million 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 and unsupervised clustering to streamline the processing of text queries for financial products

Jun 2017 - Dec 2018

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

Stockholm, 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 and behavioral economics

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Banking and Finance (6.5 years), Energy (5 years), Automotive (1.5 years), Education (1.5 years), Pharmaceutical (0.5 years), and Professional Services (0.5 years).

Banking and Finance

Energy

Automotive

Education

Pharmaceutical

Professional Services

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Research and Development (6.5 years), Project Management (5 years), Strategy (5 years), Business Intelligence (5 years), Product Development (3 years), and Information Technology (2.5 years).

Research and Development

Project Management

Strategy

Business Intelligence

Product Development

Information Technology

Skills

Data Science

Python, R, Stata
Spark, Pyspark, Scala
Databricks / Sagemaker
Sql, Mongodb, Redshift, Postgresql

Software Development

Javascript / Typescript
Rust
Solidity

Cloud Technology

Azure Cloud
Aws
Kubernetes

Machine Learning

Tensorflow
Keras
Googlebert Nlp

Languages

German

Native

English

Advanced

Spanish

Advanced

Swedish

Elementary

Certifications & licenses

DeepLearning.AI - Neural Exchange: University of the Pacific Lima, Peru

Networks and Deep Learning

Stanford Machine Learning

Profile

Created

August 2023

Last Update

August 2024

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Raphael based?

Raphael is based in Berlin, Germany.

What languages does Raphael speak?

Raphael speaks the following languages: German (Native), English (Advanced), Spanish (Advanced), Swedish (Elementary).

How many years of experience does Raphael have?

Raphael has at least 10 years of experience. During this time, Raphael has worked in at least 6 different roles and for 4 different companies. The average length of individual experience is 2 years and 8 months. Note that Raphael may not have shared all experience and actually has more experience.

What roles would Raphael be best suited for?

Based on recent experience, Raphael would be well-suited for roles such as: Founder / Quant Developer, Manager Data Science & Blockchain Technology, Managing Consultant for Data Science.

What is Raphael's latest experience?

Raphael's most recent position is Founder / Quant Developer at Market Maker.

What companies has Raphael worked for in recent years?

In recent years, Raphael has worked for Market Maker and Roland Berger GmbH.

Which industries is Raphael most experienced in?

Raphael is most experienced in industries like Banking and Finance, Energy, and Automotive. Raphael also has some experience in Education, Pharmaceutical, and Professional Services.

Which business areas is Raphael most experienced in?

Raphael is most experienced in business areas like Research and Development (R&D), Project Management, and Strategy and Planning. Raphael also has some experience in Business Intelligence, Product Development, and Information Technology (IT).

Which industries has Raphael worked in recently?

Raphael has recently worked in industries like Banking and Finance and Energy.

Which business areas has Raphael worked in recently?

Raphael has recently worked in business areas like Research and Development (R&D), Project Management, and Strategy and Planning.

Does Raphael have any certificates?

Raphael has 3 certificates. These include: DeepLearning.AI - Neural Exchange: University of the Pacific Lima, Peru, Networks and Deep Learning, and Stanford Machine Learning.

What is the availability of Raphael?

Raphael is immediately available for suitable projects.

What is the rate of Raphael?

Raphael's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.