Posted 17 days ago
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You will work on data-driven initiatives to optimise decision making across multiple asset classes and trading desks. Tasks include building an NLP/Bayesian chatbot to suggest trades, designing metrics to analyse trading activity, and building tools to parse and ingest new public market data sources. The role requires strong Python engineering and data science/quant skills and experience with large time-series data. Expect close collaboration with traders and stakeholders, sometimes in a high-pressure desk environment.
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
Python Developer – Data Analytics
London
Required skills
Python, Pandas, Numpy, Scipy, Cython, Sympy, Scikit-learn, Matplotlib, Jupiter, Statistics, Probability, Data Science, Machine Learning, NLP
Apply for this positionYou 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
