Android Developer

astra north infoteck; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, seeks entry-level Quantitative Researchers to perform rigorous quantitative research focused on predictive models. You will be trained across the systematic trading process from idea generation to practical trading considerations, aiming to become a thought leader within the research group.

Responsibilities include digesting recent academic work, managing the research process, and building analytical tools to support a shared research

Qualifications

• Bachelor’s degree or higher in finance, economics, mathematics, statistics, data science or related field.
• Strong programming in Python or similar language; working knowledge of SQL.
• Excellent analytical and quantitative skills; detail oriented; able to work independently and in a team.

Responsibilities

• Follow current academic research and analyze findings.
• Manage the research process from idea generation to testing and backtesting.
• Build analytical tools to support research and trading framework.

Skills

Analytical thinking

Team collaboration

Ownership

Detail orientation

Education

Bachelor's degree

Master's degree

PhD

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.