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For Companies Your role will involve working closely with the latest technology to develop algorithms and build quantitative models of financial markets. This role involves large and often complex data-sets. The role's responsibility in projects spans initial idea generation through to implementation and execution, whilst tackling challenges in areas such as prediction, optimisation, and data analysis. You will be probing and examining the global markets, trying to understand the complexities of various traded products and exchanges.
Requirements:
- Experience in numerical analysis, optimisation, signal processing, statistics (including robust techniques), time series analysis, machine learning, and natural language processing
- Polished academic background in a highly technical discipline, e.g. Statistics, Applied Mathematics, Computational Physics to PhD level
- Proven success with profitable trading strategies
- Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
Apply: Please send a Word CV to Sara Hunter at quants@ekafinance.com
Quant Analyst employer: Eka Finance
As a leading firm in the financial sector, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our Quant Analysts benefit from access to cutting-edge technology and extensive professional development opportunities, allowing them to thrive in their careers while tackling complex challenges in global markets. Located in a vibrant city, our team enjoys a supportive environment that values diversity and promotes work-life balance.
Contact Detail:
Eka Finance Recruiting Team
