Entry-Level Quantitative Researcher
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
About Cubist
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.
Role
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
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.
Role
Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models. You will be trained in all aspects of systematic trading from idea generation all the way to practical trading considerations. Successful hires will ultimately become thought leaders within our collaborative research group.
Responsibilities
- Conduct original quantitative alpha signal research
- Follow, digest and analyze the latest academic research
- Manage all aspects of the research process, including idea generation, data analysis, hypothesis development and testing, alpha discovery, trading strategy generation, backtesting and portfolio analysis
- Build analytical tools to supplement our shared research framework
- B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
- Programming in Python (or comparable language) and working knowledge of SQL
- Strong analytical and quantitative skills.
- Willingness to take ownership of his/her work.
- Ability to work both independently and collaboratively within a team.
- Strong desire to deliver high quality results in a timely fashion.
- Detail-oriented.
- Prior experience in the financial services industry is not required.
- A commitment to the highest ethical standards.
More about this job
Responsibilities
Conduct original quantitative alpha signal research and develop predictive models for systematic trading. Manage the full research lifecycle from idea generation and data analysis to backtesting and portfolio analysis.
Requirements
Requires a B.S., M.S., or PhD in a quantitative field such as finance, mathematics, or computer science. Proficiency in Python and SQL along with strong analytical skills are essential.
Skills
- Quantitative Research
- Predictive Modeling
- Python
- SQL
- Alpha Signal Research
- Data Analysis
- Hypothesis Testing
- Backtesting
- Portfolio Analysis
- Financial Modeling
Visa sponsorship
Not detected in the job text
Categories
- Finance & Accounting
- Science & Research
- Data & Analytics
- Technology
Keywords
- Quantitative Research
- Systematic Trading
- Alpha Signals
- Predictive Models
- Python
- SQL
- Backtesting
- Portfolio Analysis
- Financial Services
- Data Science
- Mathematics
- Statistics
- Economics
- Finance
- Market Anomalies
- Quantitative Alpha