Required skills

Python, Pandas, Numpy, Scipy, Cython, Sympy, Scikit-learn, Matplotlib, Jupiter, Statistics, Probability, Data Science, Machine Learning, NLP

You will be at the forefront of a data-driven initiative to optimise decision making across multiple asset classes and trading desks.

You may join team members building a chatbot that uses Bayesian inference and NLP to suggest potential trades, designing metrics that analyse trading activity or building tools to parse and ingest new sources of data from public markets.

The team interact with different stakeholders and the software has the potential to significantly impact all areas of the business. At times you will be expected to join traders in the high-pressure environment of the desk to improve your own understanding or to assist them directly. A passion for and background in software engineering, data science and/or quant analytics is key.

Key skills:

– Excellent Python ability (NumPy, Pandas, Scipy, Cython)
– Experience with large time series data (InfluxDB, TimescaleDB, kdb+)
– Sound knowledge of financial markets & securities
– Experience in data science, advanced statistics