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EF
Quant Researcher With Very Strong Statistics / Data Analysis / London/ £Base + Bonus
Why This Role Stands Out
This hybrid Quant Researcher role offers significant growth potential through cutting-edge model development and collaboration with top academic minds, perfect for those with strong statistical and data analysis skills seeking a dynamic London-based opportunity with competitive compensation. You'll thrive by applying advanced techniques to vast datasets and shaping market insights, so seize this chance to advance your career.
Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
1 week ago
Machine LearningC++JavaPython
Job Description
Role:-
- Use a rigorous scientific method to develop sophisticated investment models and shape insights into how the markets will behave
- Apply quantitative techniques like machine learning to a vast array of datasets
- Create and test complex investment ideas and partner with our engineers to test your theories
- Attend academic seminars to learn from thought leaders from top universities
- Share insights from conferences focused on statistics, machine learning, and data science
Requirements:-
- Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
- Intermediate skills in at least one programming language (like C, C++, Java, or Python)
- Experience performing an in-depth research project, examining real-world data
- Ability to think independently and creatively approach data analysis and communicate complex ideas clearly
Apply:-
Please send a PDF CV to quants@ekafinance.com
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