We are looking primarily for a skilled ML Engineer who has experience in building ML models, not just someone who has built the pipelines, but someone who understands how to tweak the algorithms and research how the strategies perform etc.

The perfect candidate for this position will have an engineering mindset, excellent problem solving and analytical skills and a strong mathematical background. You will be carrying out fundamental research, working directly with traders to research Alpha’s and understand their returns.

We’ll trust you:

• Apply a rigorous scientific method, advanced mathematical and statistical methods to build ML models for large datasets
• Perform alpha research, execution research and models performance optimization in close collaboration with Quants and Engineers
• Exploring and analysing existing and new datasets to create highly predictive features and insights
• Developing, backtesting, deploying, maintaining and monitoring different ML models
• Stay up to date with state-of-the-art technologies and tools including technical libraries, computing environments and academic research

We’re looking for:

• Advanced Degree from top-tier university (i.e. Mathematics, Physics, Computer Science, etc.) as well as similar experience in the field of Quantitative Finance
• Excellent knowledge of probability and statistics, including experimental design, predictive modeling, optimization and inference
• Solid understanding of ML fundamentals, workflows and how to deal with large data sets for analytical approach and quantitative methods
• Highly proficient in Math and DS with focusing on time series domain and personal achievements in any quantitative field or competition (Kaggle, hackathons, olympiads, academic competitions, etc.)
• Experience with ML predictive modeling tools, libraries and workflow platforms, such as LightGBM, TensorFlow, scikit-learn, XGBoost and MLFlow
• Strong interpersonal skills, ability to manage multiple tasks and thrive in a fast-paced team environment

What we offer:

• Good salary and great bonuses which depend on your results
• Impact the business/p&l directly
• Opportunity to collaborate directly with the foundersWork for a fast growing company with low staff turnover
• Become part of a team of the most talented developers, traders, and quants from top-tech universities (Olympiad winners)