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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 and
portfolio managers. 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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Copyright © 2025 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring
on the basis of race, color, creed, religion, sex, sexual orientation or
preference, age, marital status, citizenship, national origin, disability,
military status, genetic predisposition or carrier status, or any other
protected characteristic as established by applicable law.