Quantitative Researcher

Arrowstreet Capital•Boston, MA

6d•$155,000 - $260,000•Onsite

About The Position

We are looking for Quantitative Researchers to join our Research group. We are a collaborative, data-driven, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return, risk and trading cost forecasts based on the signals to drive trading decisions. We maintain a friendly, team-oriented environment and place a high value on professionalism, attitude and initiative. As a Quantitative Researcher, you will work on high-impact projects that improve the specification and/or implementation of our investment models as well as research projects that improve portfolio construction decisions in our fully integrated, unified systematic investment process.

Requirements

Degree from an undergraduate or graduate educational institution in finance, mathematics, economics, or a closely-related discipline emphasizing quantitative or financial analysis
1-3 years of relevant experience recommended
Understanding of probability, statistics, linear regression, time-series analysis, linear algebra, calculus, optimization and portfolio theory
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)
Passion for financial markets
Ability to communicate complex empirical research findings and conclusions clearly, including through effective use of data visualizations
High energy and strong work ethic

Nice To Haves

Good understanding of the academic field of empirical asset pricing
Familiarity with financial data products
Experience with stock market data sets
Experience leveraging large language models (LLMs) and coding agents to support research and programming workflows

Responsibilities

Performing ad-hoc exploratory statistical analysis across large complex data sets from a variety of structured and unstructured sources
Researching predictable patterns in asset returns, risks, trading costs and other data relevant to financial markets
Writing and maintaining production-quality code used directly in the investment process
Assessing the quality of historical and current data, diagnosing deficiencies, and prescribing fixes
Performing portfolio construction research using our proprietary simulation capability
Working with software engineers to design feeds for new data sources from third-party vendors
Participating in data architecture decision-making to support the Research data platform
Conducting research projects from initial stages through analysis, and presenting directly to the team and stakeholders