Data Scientist

16/01/23 25000 – 33000 PLN/MONTH Remote
Algopolis is a start-up developing comprehensive trading and investment strategies based on artificial intelligence methods and advanced statistical analysis. Since October 2018, we have been working on AI-based trading strategies. After very promising initial research results and several months of successful operations on the U.S. stock market, our team of dedicated data and quantitative traders is growing and looking for new talent. We offer the opportunity to join a small but dynamic international team with diverse expertise, working on a project with high potential and using cutting-edge AI methods. We are located in Warsaw, but our team members also work from London, New York, Wroclaw and Poznan.

What do we expect from a candidate?
We are looking for a Data Scientist to assist in researching the construction of auto-trading models. We are looking for a person with experience in:
  • Building deep learning models
  • Meticulously designing and executing experiments to validate the thesis
  • Analyzing large amounts of ambiguous data

We are looking for a person who is creative, inquisitive and questions the results of their experiments. Preferably someone who will not be afraid to ask difficult questions.

Tech stack:
  • PyTorch, PyTorch Lightning
  • hydra (config system) – we do not require knowledge of hydra specifically but familiarity with running experiments using the yaml config system
Day to day

Meetings at 9:00 am where we discuss the research currently underway. Open discussion where each team member shows the progression of their research in the form of reports on wandb and we discuss conclusions together. Most of the work consists of:

  • Drafting the research process – from asking the question we want to solve, to planning each individual experiment
  • Programming custom solutions to let go of specific experiments
  • Designing the architecture of neural networks
  • Analyzing the experiments

Over 60% of our candidates get invited to an interview with our Clients.

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