Deep Researcher at WorldQuant

Yerevan, Yerevan, Armenia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative FinanceIndustries

Requirements

(None explicitly specified)

Responsibilities

Develop a structured and methodical research agenda combining fundamental knowledge, data exploration, and quantitative analysis
Become a domain expert on each fundamental topic covered, identifying key information drivers for research
Conduct detailed data exploration to acquire a comprehensive understanding of the data used to generate alphas
Enrich structured and unstructured data into datasets to enable quantitative research
Take a process-oriented approach to understand the value drivers of alphas

Skills

Key technologies and capabilities for this role

Quantitative AnalysisData ExplorationAlpha GenerationFinancial StrategiesData EnrichmentUnstructured DataStructured DataDomain Expertise

Questions & Answers

Common questions about this position

What is the salary for the Deep Researcher position?

This information is not specified in the job description.

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

This information is not specified in the job description.

What skills are needed for this Deep Researcher role?

This information is not specified in the job description.

What is the company culture like at WorldQuant?

WorldQuant pairs academic sensibility with accountability for results, encourages open thinking, intellectualism, practicality, and continuous improvement, values intellectual horsepower, and encourages challenging conventional thinking.

What makes a strong candidate for the Deep Researcher role?

A strong candidate would demonstrate a structured and methodical approach to research, combining fundamental knowledge, data exploration, and quantitative analysis, along with the ability to become a domain expert and enrich data for alpha generation.

WorldQuant

Quantitative asset management using algorithms

About WorldQuant

WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.

Greenwich, ConnecticutHeadquarters

2007Year Founded

$148.5MTotal Funding

N/ACompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Performance Bonus

Flexible Work Hours

Risks

Increased competition from AI-driven investment firms like ADIA.

Regulatory scrutiny on algorithmic trading practices is increasing globally.

Market volatility challenges the performance of algorithmic trading models.

Differentiation

WorldQuant employs over 1,000 professionals across 27 global offices.

The firm uses predictive algorithms to manage assets and generate client returns.

WorldQuant emphasizes equal opportunity, allowing all employees to contribute meaningfully.

Upsides

Increased focus on alternative data sources is gaining traction in quantitative finance.

Machine learning integration in portfolio management allows better market trend predictions.

Quantum computing offers potential for faster, complex calculations in algorithmic trading.

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