We are looking for new Associates to join our Research team. Our Research group is a collaborative, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return and risk forecasts based on the signals to drive trading decisions.

Responsibilities

Your responsibilities are expected to grow in line with your experience and abilities. Depending on your competitive advantages, typical responsibilities may include:

• Merging, structuring, and analyzing large amounts of data from various sources
• Assessing the quality of historical panel data, diagnosing deficiencies, and prescribing fixes
• Working with developers to design feeds for new data sources from third-party vendors
• Participating in data architecture decision-making to support the research analytics platform
• Performing ad-hoc exploratory statistics and analysis on research data sets
• Writing and maintaining code that supports the investment research process
• Researching predictable patterns in asset returns, risks, and trading costs

Qualifications

• An undergraduate or graduate degree from a top educational institution in finance, mathematics or economics, or a closely-related discipline emphasizing quantitative and financial analysis
• Demonstrated professional or academic success (recent graduates are encouraged to apply)
• Strong analytical, quantitative, and problem solving skills
• Understanding of probability, statistics, linear regression, and time-series analysis
• Knowledge of the application of statistics to economics (including econometrics or regression analysis)
• Experience with a statistical computing environment such as Python, Stata, R, or MATLAB
• Experience analyzing large data sets
• Understanding of finance (including equities and derivatives)
• Great communication skills

In addition, the following are a plus:

• Good understanding of the academic field of empirical asset pricing
• Familiarity with financial data products
• Experience with stock market data sets

Please include a cover letter detailing your short and long-term career goals as well as your resume and transcript(s) upon submission of your application.