Duration: permanent, start negotiable
We are looking for a developer with experience in designing data-intensive applications within cloud environments and broad knowledge in efficient computing techniques (parallel/distributed computing, GPU, …), to support the Quant Research team in building prototypes for efficient and largescale data analytics/AI solutions.
You will work in a team of Quant Engineers dedicated to research and innovation projects aiming at exploring new applications of data mining, AI and optimization in the financial sector. Your work will focus on the software implementation side (data pipeline and databases architecture, improving performance and scalability, cloud solutions deployment)
Desired Skills and Experience
To be a successful candidate, you must fulfil the following requirements:
MSc. (or higher) degree in Computer Science, Engineering or Data Science
At least 3 years of working or academic experience in implementing efficient and large scale data mining/AI solutions
Proficiency in Python (including a.o. Multiprocessing, Asyncio, PySpark, TensorFlow) and knowledge of C/C++ (or Java) are strictly required.
Experience with datastores (SQL and NoSQL) and cloud computing services (AWS, Google cloud)
Strong analytical thinking
German mother tongue and strong communication skills in English