Data Entry Clerk

Staffmax Staffing & Recruiting; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

Cubist Systematic Strategies is seeking entry-level Quantitative Researchers to conduct rigorous quantitative research and develop predictive models. You will be trained across the full spectrum of systematic trading from idea generation to practical trading considerations within a collaborative research group.

Ideal candidates hold a quantitative degree and are proficient in Python and SQL, with strong analytical skills and attention to detail.

Qualifications

• Bachelor’s, Master’s, or PhD in a quantitative field.
• Proficiency in Python and SQL.
• Strong analytical and quantitative skills.
• Ability to work independently and in a team.
• Attention to detail.
• Experience in financial services is not required.
• Commitment to the highest ethical standards.

Responsibilities

• 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.
• Develop predictive models and trading ideas within a collaborative environment.

Skills

Python

SQL

Quantitative analysis

Data science

Team collaboration

Detail oriented

Ownership

Independent work

Academic research

Education

B.S./M.S./PhD in finance/economics/mathematics/statistics/data science/computer science

Tools

Python

SQL

Job description

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.

CA$60,000.00–CA$80,000.00 yearly

Full-time

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

• 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

Requirements

• 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.