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Worldquant Jobs in California (NOW HIRING)

Senior Python Software Engineer

Los Angeles, CA · On-site

$130K - $176K/yr

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our ...

Worldquant information

See California salary details

$96.7K

$167.5K

$256.1K

How much do worldquant jobs pay per year?

As of Aug 26, 2026, the average yearly pay for worldquant in California is $167,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $196,400.00 per year, depending on experience, location, and employer.

What is WorldQuant?

WorldQuant is a global quantitative asset management firm that specializes in using advanced mathematical models and data analysis to make investment decisions. Founded in 2007 by Igor Tulchinsky, the firm employs quantitative researchers, data scientists, and technologists to develop systematic trading strategies for financial markets. WorldQuant is known for its collaborative approach, offering opportunities for remote research through its WorldQuant Virtual Research Center. The company manages billions in assets and is recognized for its innovation in the field of quantitative finance.

What are the key skills and qualifications needed to thrive as a quantitative researcher at WorldQuant?

To thrive as a Quantitative Researcher at WorldQuant, you need a strong background in mathematics, statistics, computer science, or a related field, typically supported by an advanced degree. Expertise in programming languages like Python, C++, or R, along with experience using data analysis tools and statistical modeling systems, is crucial. Outstanding problem-solving abilities, analytical thinking, and the capacity to work both independently and collaboratively set top candidates apart. These skills are essential for developing innovative quantitative models and generating actionable investment strategies in a highly competitive financial environment.

What are some typical challenges faced by quantitative researchers at WorldQuant, and how can candidates prepare to address them?

Quantitative researchers at WorldQuant often face the challenge of developing innovative trading strategies in a highly competitive and fast-paced environment. This requires not only strong analytical and programming skills but also the ability to quickly adapt to new data sets, technologies, and market conditions. Collaboration with other researchers and technologists is frequent, so excellent communication and teamwork skills are essential. Candidates can prepare by honing their statistical modeling abilities, becoming proficient in programming languages such as Python or C++, and developing a solid understanding of financial markets.

What is the difference between Worldquant vs Quantitative Researcher?

AspectWorldquantQuantitative Researcher
Required CredentialsDegree in Mathematics, Statistics, Computer Science, or related fields; strong programming skillsSame as Worldquant, often with advanced degrees
Work EnvironmentFast-paced, data-driven, collaborative teams in finance and hedge fundsResearch-focused, analytical, often within financial firms or hedge funds
Employer & Industry UsageGlobal hedge funds, proprietary trading firms, financial institutionsFinancial firms, hedge funds, quantitative trading companies
Common Search & ComparisonYesYes

Worldquant and Quantitative Researchers share similar educational backgrounds, work environments, and industry usage. Both roles focus on data analysis, modeling, and algorithm development for trading strategies. While Worldquant is a specific firm, the term 'Quantitative Researcher' broadly describes similar roles across various financial institutions. The main difference lies in the company-specific context versus the general job title.

How do I get into Worldquant?

To get into a role at Worldquant, candidates typically need a strong background in quantitative analysis, programming skills in languages like Python or C++, and a solid understanding of financial markets. The application process involves submitting an online application, completing technical assessments, and participating in interviews that test problem-solving and coding abilities.

What are popular job titles related to Worldquant jobs in California?

For Worldquant jobs in California, the most frequently searched job titles are:

What job categories do people searching Worldquant jobs in California look for?

The top searched job categories for Worldquant jobs in California are:

What cities in California are hiring for Worldquant jobs?

Cities in California with the most Worldquant job openings:

Senior Python Software Engineer

Los Angeles, CA • On-site

WorldQuant
Finance and Insurance • 501 - 1,000 employees

$130K - $176K/yr

Other

Posted 5 days ago


Job description

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform.
WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.
Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.
Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.
The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant's platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm's next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.
What You'll Bring:
A successful candidate will possess:

  • A minimum of 7 years of writing production-quality code in Python on Linux platform

  • Candidate must be willing to learn C++. Experience in C++ is a strong plus

  • Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.

  • Strong understanding and experience with Linux system programming fundamentals

  • Ability to develop large-scale, distributed systems

  • Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.

  • Self-motivated and able to work independently with minimal direction

  • Proficiency in English


An outstanding candidate will also have experience with one or more of:

  • Developing systems for managing and performing computation on large-scale graph data

  • Streaming / dataflow systems

  • Candidates need not have prior experience in financial services.


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