Quant Researcher, Trading
About The Position
Invesco is seeking a Quantitative Researcher to join its Capital Markets Systematic Trading Research team, where they will help generate trading insights and improve execution outcomes across global markets and asset classes. The role combines quantitative research, market and trading data analysis, transaction cost analysis, and tool development to support more effective trading strategies and investment outcomes. This is an exciting opportunity for a technically skilled, collaborative researcher with strong SQL and R/Python capabilities and experience in execution analytics, TCA, or algorithmic trading research.
Requirements
- MSc or PhD in STEM major such as statistics, mathematics, computer science, computational physics/chemistry/biology; or, Bachelor’s degree with 2+ years’ relevant experience and strong technical skills
- Candidates must have hands on experience with SQL and R/Python, and master data science tools such as Shiny, R/Python Notebook; otherwise, the ability to quickly learn such tools must be demonstrated
- Candidates should demonstrate good knowledge of broad quantitative finance concepts and methodologies; specific knowledge on financial market microstructure, OMS/EMS, order execution and reporting process is a plus
- Team player, open minded, used to a collaborative work environment
- Excellent technical verbal and written communication skills. Ability to communicate a big picture idea and then zoom into the details and communicate effectively
- Pragmatic mind with a preference for hands on work over purely theoretical development
- Ability to conduct complex analysis and present data in a meaningful way
- Strong organizational skills and detail oriented
Nice To Haves
- Candidates with experience in transaction cost analysis, or conducting algorithmic trading research, or developing execution algorithms at a reputable buy-side firm, hedge fund or top tier investment bank are preferred
Responsibilities
- Investigate the properties of Invesco’s orders using transaction cost analysis
- Research execution tools across asset classes
- Partner with various investment teams across the globe to better understand execution requirements
- Help identify areas of trading strategy improvements
- Analyze market and trading data and create models to improve existing trading tools and strategies
- Build and help automate various transaction cost analysis (TCA) reports
Benefits
- Flexible paid time off
- Hybrid work schedule
- 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
- Health & wellbeing benefits
- Parental Leave benefits
- Employee stock purchase plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
