Location: Sofia, Bulgaria
100% in the office
Business domain: fintech/hedge fund
Stack: Python, AWS, Docker, MLOps experience, combined with a creative mindset and data awareness.
Our client is a quantitative hedge fund, using big data and machine learning to deliver returns to its investors through a machine-plus-man approach.
The team of quantitative researchers, mathematicians, and machine learning experts develop breakthrough solutions to some of the most challenging problems in finance and economics. To achieve that, the team members rely on a robust data pipeline and software infrastructure to continue operating smoothly.
What you’ll do:
Design, develop, test, and maintain software solutions (hands-on)
Build CI/CD pipelines
Lead and mentor the rest of the team and help implement best practices in coding
Think creatively, innovate and solve complex problems; Improve the existing internal software
Requirements:
7+ years of experience programming in Python
Proficiency in cloud computing (preferably AWS)
Proficiency in Git
Experience working with Docker containers
Experience working with large data sets, task scheduling and DAGs
Exposure to unit and integration testing frameworks
Would be a plus:
Degree(s) in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science
Understanding of time series analysis, data mining, numerical methods, and statistical tools, including PCA and regression
Experience or at least interest in machine learning techniques, time series analysis, and econometrics
Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN, or other autoencoders
KX / KDB+ / q experience
Basic understanding of equity markets
If you are interested, please send your CV and we will get in touch to discuss your next career step.
Technology Talents Recruitment activities are based on a license № 3146 from 08.04.2021 issued by the Ministry of Labor and Social Politics in the Republic of Bulgaria.
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