Experienced Quantitative Strategist

Austin, Texas, United States

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$150,000 – $200,000Compensation

Junior (1 to 2 years), Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Quantitative Finance, Hedge FundIndustries

Requirements

Candidates must possess a PhD or Master’s degree from a top university in computer science, mathematics, statistics, physics, engineering, or quantitative finance, and have 2-8 years of experience in quantitative research and/or quantitative development for systematic strategies. They should demonstrate proficiency in programming languages such as Python and/or C++, with a strong foundation in data structures and algorithms, and possess working knowledge of Linux.

Responsibilities

The Experienced Quantitative Strategist will support Portfolio Managers with alpha research, modeling, portfolio construction, optimization, and the implementation of quantitative trading strategies, as well as build and maintain tools and systems used throughout the quantitative research and portfolio management processes.

Skills

Python

C++

Data Structures

Algorithms

Linux

Quantitative Research

Modelling

Portfolio Construction

Optimization

Problem-Solving

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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