Book Portfolio Manager

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Investment Management, Quantitative FinanceIndustries

Requirements

Candidates should possess at least two years of experience in developing systematic strategies, demonstrated by a verifiable track record with positive PnL and Sharpe ratios. Strong programming skills in mainstream quant programming languages, such as Python and C++, are required.

Responsibilities

The Book Portfolio Manager will develop systematic strategies utilizing statistical signals related to market inefficiencies across various asset classes, including global equities and/or ETFs, futures, currencies, and options. They will lead and manage quantitative investment portfolios, contribute to broader firm research and strategic initiatives, and participate in internal research conferences and forums.

Skills

Python

C++

Systematic Strategies

Quantitative Portfolio Management

Statistical Signals

Global Equities

ETFs

Futures

Currencies

Options

PnL

Sharpe Ratio

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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