Quantitative Researcher
📋 Role Overview & Responsibilities
Team OverviewWe 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.
ResponsibilitiesYour 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 sourcesAssessing the quality of historical panel data, diagnosing deficiencies, and prescribing fixesPerforming ad-hoc exploratory statistical analysis across multiple large complex data sets from a variety of structured and unstructured sourcesWriting and maintaining production-quality code used directly in the investment processResearching predictable patterns in asset returns, risks, trading costs and other data relevant to financial marketsPerforming portfolio construction research using our simulation capabilityWorking with software engineers to design feeds for new data sources from third-party vendorsParticipating in data architecture decision-making to support the Research data platform
QualificationsAn undergraduate or graduate degree in finance, mathematics, economics, or a closely-related discipline emphasizing quantitative and financial analysisDemonstrated professional or academic success (recent graduates are encouraged to apply)Strong analytical, quantitative, and problem solving skillsUnderstanding of probability, statistics, linear regression, time-series analysis, linear algebra, calculus, optimization and portfolio theoryKnowledge of the application of statistics to economics (including econometrics or regression analysis)Experience with a statistical computing environment such as Python, Stata, R, or MATLABExperience analyzing large data setsUnderstanding of finance (including equities and derivatives)Passion for financial marketsExcellent communication skills, including data visualizationHigh energy and strong work ethic
In addition, the following are a plus:Good understanding of the academic field of empirical asset pricingFamiliarity with financial data productsExperience with stock market data sets
Frequently Asked Questions
How do I apply for the Quantitative Researcher position at Arrowstreet Capital, Limited Partnership? ▼
Click the “Apply for this Position” button on this page to submit your application directly to Arrowstreet Capital, Limited Partnership without recruitment intermediary fees.
Is this position eligible for remote work or visa sponsorship? ▼
This position is located in Boston, MA with potential relocation and sponsorship assistance depending on candidate qualifications.
Are there any candidate fees on Hirely? ▼
No. Hirely is completely free for candidates. We never charge registration fees or placement fees.
Legitimate employers will never ask you to transfer funds, purchase equipment from unauthorized vendors, or pay application/visa fees. Hirely rigorously monitors listings, but always verify communication is from official corporate email domains.
Learn how to protect yourself against employment fraud →