Data Analytics Engineer - Python QD.

Data Analytics EngineerLondon/Hybrid.Perm.Competitive Salary + Bonus & Benefits. Sponsorship is not available.Day to day responsibilities:

Test/evaluate new alternative datasets in collaboration with quant researchers and data teams
Once identified with machine learning and statistical methods, automate the extraction of predictive features
Manage the full lifecycle of data science projects: data acquisition/exploration/engineering, prototyping, and production
Operate a wide array of methods, including unsupervised, supervised, learning, natural language processing (NLP), anomaly detection etc
Work in collaboration with data engineers, quantitative researchers, to help understand and architect the systems

Requirements:

A keen interest in financial markets, data analysis and programming.
Structured and unstructured data management expertise.
Advanced programming experience in Python, C/C++, C# is a plus.
Cloud platforms (AWS, GCP, etc.) expertise.
Intellectual curiosity to identify emerging and alternative data.
Capacity to work with autonomy within a global team (researchers and data engineers).
Post Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics.
3+ years of experience as a Data Engineer/Analyst/Scientist.
Significant experience in NLP preferred.
Ability to work in a high-performance, high-velocity environment.
Excellent communication skills.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

APPLY NOW

Data Analytics Engineer - Python QD. Related Jobs