Quantitative Researcher at Arrowstreet Capital

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Asset ManagementIndustries

Requirements

Enrolled in or graduated from an undergraduate or graduate program in finance, mathematics, economics, or a closely-related discipline emphasizing quantitative or 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, 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
Excellent communication skills, including data visualization
High energy and strong work ethic
Good understanding of the academic field of empirical asset pricing (plus)
Familiarity with financial data products (plus)
Experience with stock market data sets (plus)

Responsibilities

Performing ad-hoc exploratory statistical analysis across multiple 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
Depending on your competitive advantages, typical responsibilities may include: growing in line with experience and abilities

Skills

Key technologies and capabilities for this role

Statistical AnalysisData AnalysisBacktestingPortfolio ConstructionRisk AnalysisTrading CostsProduction CodeFinancial MarketsSimulationData Architecture

Questions & Answers

Common questions about this position

What qualifications are required for the Quantitative Researcher position?

Candidates must be enrolled in or graduated from an undergraduate or graduate program in finance, mathematics, economics, or a closely-related discipline, with strong analytical, quantitative, and problem-solving skills, understanding of probability, statistics, linear regression, time-series analysis, linear algebra, calculus, optimization, portfolio theory, and knowledge of statistics applied to economics.

What technical skills or tools are needed for this role?

Experience with a statistical computing environment such as Python, Stata, R, or MATLAB, along with experience analyzing large data sets, is required.

Is this a remote position, or is there a required location?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Arrowstreet Capital?

The team is collaborative, data-driven, and intellectually rigorous, maintaining a friendly, team-oriented environment that values professionalism, attitude, and initiative.

Arrowstreet Capital

Investment management for global equity strategies

About Arrowstreet Capital

Arrowstreet Capital specializes in managing global and international equity investments for institutional clients, including pension plans and foundations. Their investment strategies include long-only, alpha extension, and long/short approaches, utilizing various financial instruments like swaps and futures. The company employs quantitative methods to analyze investment signals and develop proprietary models for return, risk, and transaction costs. This structured investment process aims to create diversified equity portfolios that seek to outperform specific benchmarks by identifying opportunities across different companies, sectors, and countries. With around $100 billion in assets under management, Arrowstreet Capital serves over 200 clients across North America, Europe, and the Asia-Pacific region.

Boston, MassachusettsHeadquarters

1999Year Founded

SECONDARY_PRIVATECompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Risks

Indictment of former executive for trade secrets theft may impact client trust.

Market volatility and geopolitical tensions could affect portfolio performance.

Rise of passive investment strategies may increase competition and pressure on fees.

Differentiation

Utilizes quantitative methods for investment signals in proprietary models.

Manages $100 billion for over 200 global clients.

Offers diverse equity strategies including long-only, alpha extension, and long/short.

Upsides

Advancements in AI enhance quantitative model capabilities for market trend prediction.

Increased interest in ESG investing can be leveraged by integrating ESG metrics.

Thematic investing trends offer opportunities for specialized equity strategies.

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