Quantitative Analyst II
AffirmSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, Quantitative FinanceIndustries
Requirements
- Ph.D., M.S., or B.S. degree from a leading university in a quantitative or highly analytical field (e.g., Industrial Engineering, Physics, Computer Science, Mathematics, Financial Engineering, etc.)
- Excellent academic record
- Proficiency in C/C++ or Python or other programming languages
- Excellent problem-solving abilities and judgment with a strong attention to detail
- Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture
- Able to communicate in English (written and verbal)
Responsibilities
- Create computer-based models to predict movements of global financial markets
- Employ tested processes seeking to identify high-quality predictive signals
- Develop mathematical expressions of data used as inputs in quantitative models
- Contribute to the firm's research efforts focused on identifying market inefficiencies
Skills
C++
Python
Quantitative Modeling
Mathematical Modeling
Problem Solving
Machine Learning
Statistics
Financial Engineering
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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