Quantitative Researcher

Description:

Responsibilities:

• Research, develop and participate in all aspects of systematic trading; from data ingestion, hypothesis generation, and back-testing, to strategy’s implementation, and its production performance monitoring
• Assist in the implementation of systematic strategies by running parallel optimized simulations, performing execution analytics, and doing periodic code review
• Troubleshoot and resolve any system-wide issues in the group’s research or trading environment
• Review your production performance attribution with the PM, and suggest enhancements to existing trading strategies
• Work closely with the Portfolio Manager, and other team members, to contribute to the team’s research direction by recommending new strategies that fit within the group’s trading and risk management framework

Requirements:

• 5-12 years of relevant experience.
• End-to-end understanding of the systematic trading process.
• Experience with equities and equities data (alternative data in particular)
• Experience and knowledge of TCA modelling, risk modelling, and portfolio construction is desired
• Experience with cloud-based computing technologies (AWS) and scheduling tools is desired
• Proficient using Python in a production setting.