Senior Quantitative Researcher at WorldQuant

Yerevan, Yerevan, Armenia

WorldQuant Logo
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

Key technologies and capabilities for this role

C++PythonQuantitative ResearchEquity ResearchAlgorithmic ModelingFinancial ModelingQuantitative Finance

Questions & Answers

Common questions about this position

What compensation can I expect for this role?

The position offers a competitive compensation package including bonuses and salary.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for the Senior Quantitative Researcher position?

Candidates need 3 years of experience in quantitative equity research, a degree from a top university in a quantitative field like Mathematics or Computer Science, solid programming skills in C++ and Python, good English communication skills, and a research mindset with critical thinking.

What is the company culture like at WorldQuant?

WorldQuant pairs academic sensibility with accountability for results, encourages open thinking about problems, balancing intellectualism and practicality, and fosters continuous improvement where excellent ideas come from anyone.

What makes a strong candidate for this role?

Strong candidates have proven quantitative equity research experience, top-tier education in analytical fields, strong C++ and Python skills, and demonstrate intellectual horsepower, creativity, critical thinking, and a self-starter mindset.

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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