Specialist Portfolio Manager at WorldQuant

Budapest, Hungary

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Quantitative Finance, Investment ManagementIndustries

Requirements

2+ years’ experience in developing systematic strategies, including a verifiable track record with positive PnL and Sharpe or equivalent research experience
Strong programming skills in mainstream quant programming languages, such as Python and C++
Quantitative background – includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, and Physics

Responsibilities

Develop systematic strategies utilizing statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage, and grow quantitative investment portfolios
Contribute to broader firm research and strategic initiatives

Skills

Python

C++

Systematic Strategies

Quantitative Modeling

Statistical Signals

Portfolio Management

Alpha Generation

Equities

ETFs

Futures

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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