We can move from the first round interview to offer within 5 days. Our office is in Cambridge, but we support hybrid work.
We are seeking a skilled modeler who will straight away be responsible for building market-leading predictive models. By the end of your first year, success would mean having personally improved our models’ profitability by 20% across all markets we trade.
Requirements:
- Bachelor or Master's degree from a leading academic institute
- Minimum 1-year experience with real-world data science (can be from industry or online/personal projects)
- Excellent reasoning skills and mathematical ability
- Any track record of winning data science competitions (i.e. Kaggle) is a bonus
- Any personal algorithmic trading project is a bonus
Top 3 reasons why we are a bad fit for you:
- We are solely outcome-driven, implementing fancy models for the sake of it does not interest us
- As a small company (15 people), directions change and things can get very chaotic at times
- We have a policy of radical transparency, which means we value giving each other tough feedback
Top 3 reasons why we are a good fit for you:
- We are solely results-driven, the Quant Research team is razor-focused on improving held-out dataset performance
- We have crystal clear evaluation metrics and fast feedback loop. If you have a good idea, you can expect it to be traded within 48 hours and see the exact profit it has added to the company
- Our people are our greatest asset, you will be working with a team of Cambridge graduates who share similar values to you
Salary
- From 80K to uncapped, we are looking for top talents
Here is our tech stack:
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- Python + Tensorflow + Scikit-learn + XGBoost/LightGBM + statsmodels + Gitlab CI/CD
