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Point72
Develop systematic trading models across various markets, generate and backtest alpha ideas, and contribute to the improvement of production and research infrastructure.
Requires a Master's or PhD in a quantitative discipline, experience in quantitative trading (ideally FX or futures), alpha research, portfolio optimization, and strong Python skills with the machine learning stack.
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies. Core focus will be working on mid-frequency alpha strategies.
The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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Base Salary (from JD)
$150,000 – $200,000
AI Est. Total Comp
$275,000
Location
New York
Work Type
On-site
Seniority
senior
Experience
5-8 years
Category
Research Scientist
Visa Sponsorship
Unknown
Quality Score
4.5