Quantitative Researcher

Arrowstreet Capital, Limited; Boston (MA); In loco; USD 155.000 - 260.000; Tempo pieno

Descrizione del lavoro

Arrowstreet Capital is seeking a Quantitative Researcher to join our Research group in Boston. You will work on high-impact projects that improve investment models and portfolio construction within our unified systematic investment process. The role emphasizes rigorous analysis, code quality, and clear communication of results to the team.

We value data-driven approaches, collaboration, and initiative. Candidates typically have 1–3 years of relevant experience and a strong foundation in

Competenze

• Degree in finance, math, economics or related quantitative field.
• 1–3 years of relevant experience.
• Knowledge of probability, statistics, regression, time-series, linear algebra, calculus, optimization, and portfolio theory.
• Econometrics or regression analysis knowledge.
• Experience with Python/Stata/R/MATLAB.
• Experience analyzing large data sets.
• Finance knowledge (equities/derivatives).
• Interest in financial markets.
• Ability to present empirical findings clearly, including data visualizations.
• High energy and strong work ethic.
• Empirical asset pricing knowledge.
• Experience with financial data products.
• Experience with LLMs and coding agents.

Mansioni

• Perform ad-hoc exploratory statistical analysis on large data sets from various sources.
• Research patterns in asset returns, risks, and trading costs.
• Write production-quality code used in the investment process.
• Assess data quality and prescribe fixes.
• Conduct portfolio construction research using our simulation capability.
• Work with software engineers to design data feeds from vendors.
• Participate in data architecture decisions for the Research data platform.
• Present research findings to the team and stakeholders.

Conoscenze

Quantitative analysis

Financial markets

Data visualization

Communication

Team collaboration

Formazione

Bachelor's or Master's in Finance/Math/Economics

Strumenti

Python

Stata

R

MATLAB

Descrizione del lavoro

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 aclosely-related discipline emphasizing quantitativeorfinancial 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.