Senior Quantitative Researcher at WorldQuant

Yerevan, Yerevan, Armenia

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative FinanceIndustries

Requirements

Proven 3 years experience in quantitative equity research (buy side or sell side)
Degree from a top university in a highly analytical/quantitative field, such as: Mathematics, Finance or Economics, Computer Science, Physics, Engineering or similar
Solid programming skills (C++ and Python)
Good knowledge of English (both oral and written)
Research mind-set: be a problem solver, creative, steadfast, smart, a self-starter, etc.; Ability to work independently with minimal direction; Critical thinking and ability to come up with non-standard approaches

Responsibilities

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

Skills

C++

Python

Quantitative Research

Equity Research

Algorithmic Modeling

Financial Modeling

Quantitative Finance

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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