Point72Equity Quantitative Researcher
AI in this role
ROLE/RESPONSIBILITES
- Perform rigorous and innovative research to discover systematic anomalies in equity market
- End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation
- Identify and evaluate new datasets for stock return predictions
- Maintain and improve the portfolio trading in production environment
REQUIREMENTS
- MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics
- 1+ years of work experience in systematic alpha research in equities
- Experience developing short term alpha signals (intraday or a few days) is a plus
- Demonstrated proficiency in R or Python
- Strong command of foundations of applied statistics, linear algebra, and time series models
- Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources
- Strong knowledge of financial markets
- Highly motivated, willing to take ownership of his/her work
- Collaborative mindset with strong independent research ability
How we rate this
Equity Quantitative Researcher at Point72 rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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