Systematic Equities Quant Developer - Chicago, United States - Eka Finance

Description

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

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