Entry-Level Quantitative Strategist

Austin, Texas, United States

Auto‑apply with AI Apply

$150,000 – $200,000Compensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Financial Services, Quantitative Finance, Asset ManagementIndustries

Requirements

Candidates must possess a PhD or Master’s degree from a top university in computer science, mathematics, statistics, physics, engineering, or quantitative finance, demonstrating proficiency in programming languages such as Python and/or C++, with a strong understanding of data structures and algorithms. Familiarity with Linux is also required, alongside strong problem-solving abilities and a commitment to moral integrity and a strong work ethic.

Responsibilities

The Entry-Level Quantitative Strategist will support Portfolio Managers with alpha research, modeling, portfolio construction, optimization, and implementation of quantitative trading strategies, as well as building and maintaining tools and systems utilized throughout the quantitative research and portfolio management processes.

Skills

Python

C++

Data Structures

Algorithms

Linux

Problem-Solving

Quantitative Finance

Research

Modelling

Portfolio Construction

Optimization

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.

Land your dream remote job 3x faster with AI

Try Jobo Free