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 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.
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 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 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.
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.
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Senior Python Software Engineer in City of London employer: WorldQuant
WorldQuant is an exceptional employer that fosters a culture of collaboration and intellectual curiosity, making it an ideal place for Senior Software Developers passionate about AI and quantitative finance. With a relaxed yet intellectually driven environment, employees are encouraged to challenge conventional thinking and contribute innovative ideas, while benefiting from opportunities for professional growth and development. The company's commitment to hiring the best talent ensures that you will work alongside like-minded individuals who are dedicated to transforming complex software and research workflows.
