Quantitative Researcher
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موقع الوظيفة:
الراتب شهرياً:
تاريخ النشر:
نُشرت قبل 20 يوم
عدد الوظائف الشاغرة:
1 عدد الوظائف الشاغرة
ملخص الوظيفة
About Cubist
Cubist Systematic Strategies an affiliate of Point72 deploys systematic computerdriven 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.
Role
EntryLevel Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive modelling. You will collaborate with other researchers to work on monetization of quantitative trading strategies exploring stateoftheart portfolio construction techniques. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
- Conduct original research in quantitative portfolio management.
- Manage all aspects of the research process including idea generation data analysis hypothesis testing and implementation.
- Follow digest and analyze the latest academic research.
- Build analytical tools to supplement our shared research framework.
Requirements
- 2 years of professional work experience or PhD in a quantitative discipline: econometrics mathematics statistics physics computer science.
- Programming in Python (or comparable language) and working knowledge of SQL.
- Fluency in data science practices e.g. feature engineering. Experience with machine learning is a plus.
- Highly motivated curious and critical thinker.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Prior experience in the financial services industry is not required.
- Commitment to the highest ethical standards.
المهارات المطلوبة
عن الشركة
We invest in Discretionary Long/Short, Macro, and Systematic strategies. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. Join our team to innovate, experiment, and be the best at what you do.
