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 Finance, Investment ManagementIndustries
Requirements
- Bachelor's, Master's or PhD degree from a leading university in a quantitative or highly analytical field (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering)
- Demonstrated ability to program in C/C++ and/or Python on a Unix/Linux platform
- Strong background in ML/AI/Statistics is a big plus
- Strong background in Data Science and experience working with large datasets is a big plus
Responsibilities
- Create computer-based models to predict movements of global financial markets
- Employ rigorous exploration and unconstrained thinking about how to apply data to the financial markets
- Contribute to the identification of high-quality predictive signals
- Work collaboratively within a research team
Skills
Quantitative Research
Financial Modeling
Predictive Signals
Alpha Generation
Statistical Analysis
Intraday Analysis
Data Modeling
Research Platform
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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