Execution Algorithm Developer

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Investment Management, Quantitative FinanceIndustries

Requirements

Candidates should possess excellent C++ skills on a Linux platform, preferably with experience in low-latency programming, and experience in designing, implementing electronic algorithmic trading systems for execution, market making, or high-frequency trading. Strong knowledge of market microstructure and experience with market data (L1/2/3) for cash equity or other markets is required, along with experience in predictive signal research and/or implementation. Familiarity with Python and databases is also necessary.

Responsibilities

The Execution Algorithm Developer will be responsible for leading, building, and maintaining the algorithm and SOR frameworks, including short-term predictive models that drive WorldQuant’s investment process. They will optimize trading efficiency across various cash and derivative products, further improving the architecture of WorldQuant’s execution platform and contributing to the development of innovative infrastructure.

Skills

C++

Linux

Low-latency programming

Algorithmic trading systems

Market making

High-frequency trading

Market microstructure

Market data

Predictive signal research

Python

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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