Data Engineer at AQR Capital Management

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Investment ManagementIndustries

Requirements

Bachelor’s in a technology related field (e.g. Engineering, Computer Science, etc.)
Strong skills programming in Python (inc. Numpy & Pandas) as well as significant experience with SQL, as a software developer, quantitative developer or data engineer
Exposure to Relational database engineering or NoSQL database
Strong design, debugging and problem-solving skills
Strong analytic and strategic thinking skills
Strong communication skills

Responsibilities

Gain a comprehensive understanding of investment research teams' data needs and provide the right solution to them
Develop, test, and optimize Python data applications, frameworks, and services
Collaborate with technologists and researchers to align data applications and platforms with evolving business needs
Write and review technical documentation, including requirements for researchers and proposals for platform enhancements, as well as production support guidelines
Frequently take the lead on production support operations

Skills

Key technologies and capabilities for this role

PythonNumPyPandasSQLData PipelinesData Modeling

Questions & Answers

Common questions about this position

What is the salary range and compensation for this Data Engineer role?

The base salary ranges from $150,000 to $200,000 per year plus bonus, with competitive compensation commensurate with experience.

What benefits are offered in this position?

The comprehensive benefits package includes medical, dental, vision, 401(k), insurance, Summer Fridays, and wellness reimbursement.

Is this Data Engineer role remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Data Engineer position?

Required skills include a Bachelor’s in a technology-related field, strong Python programming (including Numpy & Pandas), significant SQL experience, exposure to relational or NoSQL databases, and strong design, debugging, problem-solving, analytic, strategic thinking, and communication skills.

What is the company culture like at Massar Capital Management?

Massar prides itself on a dynamic, entrepreneurial culture, with team members possessing strong technical skills, a passion for problem-solving, and intellectual curiosity about financial markets.

AQR Capital Management

Global investment management firm offering diversified strategies

About AQR Capital Management

AQR Capital Management provides investment management services with a focus on technology, data, and behavioral finance. The firm offers a variety of investment strategies that are based on a consistent set of principles, aiming to achieve long-term and repeatable results. AQR works primarily with institutional investors such as pension funds, insurance companies, and sovereign wealth funds, as well as financial advisors and their clients. Their investment approach combines both qualitative and quantitative methods to carefully design and test investment models. AQR differentiates itself by applying systematic and well-thought-out investment solutions that enhance portfolio construction, risk management, and trading. The company's goal is to deliver value through effective asset management while generating revenue from management and performance fees on the assets they oversee.

Greenwich, ConnecticutHeadquarters

1998Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Risks

Increased competition from quantitative firms may erode AQR's market share.

The rise of passive strategies like ETFs could impact demand for AQR's services.

Regulatory scrutiny on quantitative trading could increase compliance costs for AQR.

Differentiation

AQR integrates financial theory with practical application for superior investment results.

The firm uses quantitative tools to process fundamental information and manage risk.

AQR's systematic approach aligns with the growing trend of factor investing.

Upsides

AQR can leverage ESG factors in their quantitative models to meet rising demand.

Machine learning advancements enhance AQR's data analysis and predictive modeling capabilities.

AQR can capitalize on personalized investment solutions with their quantitative tools.

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