Quantitative Researcher positions focus on delivering results in their domain. This page aggregates open Quantitative Researcher roles and what employers typically expect.
ABOUT CUBIST Cubist Systematic Strategies is one of the world’s premier investment firms. The firm 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. RESPONSIBILITIES Perform rigorous applied research to discover systematic anomalies in equities markets Present actionable trading ideas and enhance existing strategies Identify short term opportunities in the high frequency/intraday space Participate in end-to-end development (i.e. data orchestration, alpha idea generation, simulation, strategy implementation, and performance evaluation) Contribute towards the team’s research tooling and its efficiency Help establish a collaborative mindset and shared ownership REQUIREMENTS Bachelor’s degree or higher in mathematics, statistics, computer science, or similar quantitative discipline 3+ years of work experience in systematic alpha research in equities using high frequency/intraday data Fluency in data science practices, e.g., feature engineering, signal combining Technically comfortable handling large datasets Comfortable coding in both C++ and Python in a Linux environment Exposure working with cloud computing platforms such as AWS Highly motivated and willing to take ownership of his/her work Collaborative mindset with strong independent research ability Commitment to the highest ethical standards
Salary estimate
$78,000 – $106,000/yr
Provided by the employer.
Skills for this role
PythonC++AWSData Science
Resume tips for Quantitative Researcher applicants
Lead with measurable achievements relevant to Quantitative Researcher (numbers, scope, impact).
Mirror the exact keywords from the Quantitative Researcher posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. React, Python, C++, Machine Learning).
Keep it to one page for early-career, two pages for senior Quantitative Researcher candidates.
Interview preparation
Prepare concrete STAR-format stories that show Quantitative Researcher outcomes you drove.
Research the employer's product and recent news before the interview.
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Have thoughtful questions ready about the team, tools and success metrics.
About Point72
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