Job description

Job Overview 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. Responsibilities Your responsibilities are expected to grow in line with your experience and abilities. Depending on your competitive advantages, typical responsibilities may include: 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 Qualifications 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 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 Experience leveraging large language models (LLMs) and coding agents to support research and programming workflows The base salary range for this position is $155,000 - $260,000 per year. Arrowstreet Capital operates a robust talent acquisition program, and we also seek to compensate and reward our employees competitively within our industry and in line with our merit-based culture. Our approach to total compensation includes base salaries and annual discretionary bonuses, as well as a robust benefits package. The determination of a successful candidate’s base salary placement within the listed range will vary based on the candidate’s relevant experience and qualifications (which may also include relevant certifications, credentials and other education), the job responsibilities and scope, the commensurate resulting level of the position and other relevant factors. The listed range is also an estimate, and additional information regarding base salary and other elements of total compensation offered by Arrowstreet Capital to successful applicants will be communicated during the recruitment process. Arrowstreet Capital is a Boston-based systematic investment firm that manages global equity portfolios for institutional investors around the world. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, ancestry, genetic information, age, pregnancy, medical condition, disability, veteran or military status, marital status or any other characteristic protected by federal, state, or local law. Arrowstreet Capital is committed to working with and providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you need a reasonable accommodation for any part of the employment process due to a disability, contact us to discuss the nature of your request and contact information.

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

python

Platform: workday
Effort: long