Entry-Level Quantitative Researcher

Point72; Paris; Sur place; EUR 50 000 - 75 000; Plein temps

Résumé du poste

Cubist Systematic Strategies, an affiliate of Point72, is seeking an Entry-Level Quantitative Researcher to conduct rigorous quantitative research with a focus on predictive models.

You will be trained across the research lifecycle, from idea generation to backtesting, collaborating within a top-tier research group in Paris. A degree in a quantitative field, Python and SQL skills, and strong analytical ability are essential.

Qualifications

• B.S., M.S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Strong analytical and quantitative skills.
• Programming in Python (or comparable language) and working knowledge of SQL.
• Ability to work independently and in a team.
• Commitment to high ethical standards.

Responsabilités

• Conduct original quantitative alpha signal research.
• Digest and analyze the latest academic research.
• Manage the research process from idea generation to backtesting and portfolio analysis.
• Build analytical tools to support the research framework.

Connaissances

Python

SQL

Analytical thinking

Ownership

Team collaboration

Attention to detail

Quantitative finance knowledge

Formation

B.S., M.S. or PhD in finance/economics/math/statistics/data science/CS

Outils

Python

SQL

Description du poste

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

• 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

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.