Role:-
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
Strong coding experience in Python, C/C++, C# is a plus
Cloud platforms (AWS, GCP, etc.) expertise
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
Apply:-
Please send a PDF resume to quants@ekafinance.com
