Quantitative Researcher at WorldQuant

Yerevan, Yerevan, Armenia

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative FinanceIndustries

Requirements

Degree or equivalent experience from a top university in a highly analytical/quantitative field, such as: Mathematics, Finance or Economics, Computer Science, Physics, Engineering or similar
Relevant experience in Research / Software engineering (through employment or academic activities)
Research mind-set: being a deep thinker, creative, persevering, inquisitive, a self-starter, attentive to detail, etc
Critical thinking and ability to come up with non-standard approaches
Solid programming skills (C++ and/or Python)
Good knowledge of English (both oral and written)

Responsibilities

Building algorithmic, computer-driven models
Conducting research on academic quantitative finance literature
Exploring new data
Applying a synergy of innovative methods in Applied Mathematics, Computer Science and Financial Economics

Skills

Key technologies and capabilities for this role

C++PythonQuantitative ResearchAlgorithmic ModelingApplied MathematicsComputer ScienceFinancial Economics

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this Quantitative Researcher role?

This information is not specified in the job description.

What skills are required for this role?

Required skills include a degree or equivalent from a top university in a quantitative field like Mathematics, Finance, Computer Science, Physics, or Engineering; relevant experience in research or software engineering; solid programming skills in C++ and/or Python; and a research mindset with critical thinking.

What is the company culture like at WorldQuant?

WorldQuant has a culture that pairs academic sensibility with accountability for results, encouraging open thinking, challenging conventional ideas, and continuous improvement, where excellent ideas can come from anyone.

What makes a strong candidate for this position?

Strong candidates demonstrate intellectual horsepower, outstanding talent from a top university in a quantitative field, relevant research or software engineering experience, solid programming skills, and a research mindset with critical thinking and creativity.

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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