Quantitative Researcher

Job Description: Quantitative Researcher Team Overview: Seeking Quantitative Researchers to join the collaborative and data-driven Research team. This team focuses on generating investment ideas, converting those ideas into signals, back-testing, and using them to forecast returns, risks, and trading costs. Responsibilities: Responsibilities will evolve with experience and include merging and analyzing large data sets, assessing historical panel data quality, and conducting exploratory statistical analysis on complex data from various sources. Maintain production-quality code for the investment process and research predictable patterns in asset returns, risks, and trading costs. Perform portfolio construction research using simulation tools and work with software engineers to integrate new data sources from third-party vendors. Participate in data architecture decisions to support the Research data platform. Qualifications: Undergraduate or graduate degree in finance, mathematics, economics, or a related quantitative field. Demonstrated academic or professional success (recent graduates welcome). Strong skills in analytical, quantitative, and problem-solving areas. Knowledge of probability, statistics, regression analysis, time-series analysis, linear algebra, and optimization. Experience with statistical computing environments like Python, Stata, R, or MATLAB. Understanding of finance, especially equities and derivatives, and a passion for financial markets. Excellent communication skills and high energy with a strong work ethic. Preferred Qualifications: Good grasp of empirical asset pricing and familiarity with financial data products. Experience with stock market data sets.

Created: 2024-11-05