Systematic Equities Quant Developer

Role:-

Partner closely with the Senior Portfolio Manager to develop data engineering and model prediction tools for systematic trading and monitoring
Assist in designing, coding, and maintaining tools for the systematic trading infrastructure of the team
Perform data analysis and generate live and historical analytical reports
Stay current on state-of-the-art technologies and tools including technical libraries, computing environments and academic research
Collaborate with the Senior Portfolio Manager and the trading group in a transparent environment, engaging with the whole investment process

Requirements:-

Strongly skilled/expert in Python with at least 3 years of experience.
Master's, or PhD degree in Computer Science, Engineering, Applied Mathematics, Statistics or related STEM field
Strong quantitative skills to leverage while building out quantitative tools for research

Experience using statistical or machine learning techniques to build a scalable and robust program
2-5 years of experience in finance or technology
Previous exposure to a systematic trading environment or equivalent sell-side experience
Experience in efficient database management
Knowledge of machine learning and statistical techniques and related libraries
Participation in mathematical, programming, or trading competitions

Please send a PDF resume to quants@ekafinance.com

Send job

Sign in to create job alerts

Sign in or create an account to start creating job alerts and receive personalised job recommendations straight to your inbox.